{"@context":"https://schema.org","@type":"ItemList","name":"Senior Software Engineer Job Description and Salary Information","description":"Explore the role of a Senior Software Engineer, required skills, average salary, and job market insights. Find Senior Software Engineer opportunities on top job boards.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI, Google Cloud AI","datePosted":"2025-09-10","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
5 years of experience with data structures/algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
1 year of experience in a technical leadership role.\n
Experience developing accessible technologies.\n

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Generative AI, Google Cloud AI","datePosted":"2025-08-05","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.\n
8 years of experience in software development.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.

About the job

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines and deliverables.
Design, develop, test, deploy, maintain and enhance large-scale software solutions.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Senior Product Manager, Generative AI, Google Cloud AI","datePosted":"2025-08-13","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
3 years of experience taking technical products from conception to launch.
Experience with the domain area of Generative AI or Large Language Models.
Experience driving product roadmap, go-to-market strategy, managing product strategies, and design discussions.
Experience with agents, agent-builders, or workflow tools.

Preferred qualifications:

Master's degree in a technology or business related field.
5 years of experience working cross-functionally with engineering, User Experience/User Interface (UX/UI), Business finance, and other stakeholders.
5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
4 years of experience in a role preparing and delivering technical presentations to executive leadership.
3 years of experience in software development or engineering.
Experience launching a Cloud service or Application programming interface (API) product and commercializing enterprise products. Experience in leading model strategy and development.

About the job

In this role, you will drive the development and strategy for our Artificial Intelligence (AI) agent building tools and Gemini's coding abilities. You will define and execute product roadmaps, collaborating with cross-functional teams, and ensuring Google’s leadership in the rapidly evolving AI agent and coding space. You will work closely with engineering, data science, UX, and research teams to deliver exceptional products for enterprise customers and developers alike, spanning Cloud AI and DeepMind initiatives.

As a Senior Product Manager, you will lead the product strategy for Gemini's coding abilities, including defining and building no-code/low-code agent builders in collaboration with Vertex AI and Business Application Platform (BAP) teams, developing agent personalization and customization, establishing quality standards, and driving the creation of a developer-focused agent, all while ensuring a cohesive roadmap for key use cases and product priorities.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead Product Requirements Documents (PRDs) by collaborating with partner teams (e.g., engineers, Program Managers, UX) during product design and development to implement the requirements to turn PRDs into objective key results for multiple teams.
Own and define project roadmaps for AI agent building tools and Gemini’s coding abilities.
Drive development and secure buy-in for a product roadmap that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
Manage validation of market size and opportunity (e.g., user-based, market research, strategic opportunity, business growth).
Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Generative AI, Google Cloud AI","datePosted":"2025-09-05","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.\n
8 years of experience in software development.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.

About the job

\nThe US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines and deliverables.
Design, develop, test, deploy, maintain and enhance large-scale software solutions.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Software Engineer III, Generative AI, Google Cloud AI","datePosted":"2025-09-10","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models), and with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience developing accessible technologies.

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA; Kirkland, WA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Staff Software Engineer, Generative AI, Google Cloud AI","datePosted":"2025-08-07","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.\n
8 years of experience in software development.
5 years of experience with design and architecture; and testing/launching software products.\n
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

\nThe US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance large scale software solutions.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder, CO, USA; New York, NY, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Infrastructure, Google Cloud AI","datePosted":"2025-08-16","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in C++, C, or Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n
3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.\n
Experience developing accessible technologies.\n

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA; Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Software Engineer (Generative AI)","datePosted":"2025-09-05","description":"

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

We are seeking a highly experienced hands-on Agile Development Senior Software Engineer (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions. A strong focus on DevOps and automated testing using Gen AI is essential for success in this role.

Key Responsibilities:

Develop and implement automated testing frameworks using Gen AI to enhance the reliability and performance of Gen AI Agents, applications and workflows.
Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.
Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
Implement solutions leveraging modern design patterns and best practices for full stack development.
Build and maintain RESTful APIs to enable seamless communication between different system components.
Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.

Our Impact:

At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.

Your Impact:

As an Agile Development Senior Software Engineer (Gen AI), your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Automated QA and Python-based microservices will be crucial in creating robust quality-controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross-functional teams, you will drive the implementation of enterprise-grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability.

Qualifications:

Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
5-7 years of experience in software development and Automated QA, with 1+ years of experience with Gen AI based solutions.
Deep Expertise with Cucumber/Behave, Playwright and DevOps methodologies.
Deep expertise in Python and microservices architecture.
Proven experience with cloud-native development, particularly AWS services.
Strong programming skills and familiarity with AI/ML libraries and frameworks.
Demonstrated ability to work in cross-functional agile teams.
Experience with CI/CD practices and DevOps methodologies

Keys to Success in this Role:

Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.

Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.

Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability: Thrive in a fast-paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.","hiringOrganization":{"@type":"Organization","name":"Freddie Mac","sameAs":"https://www.freddiemac.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Headquarters 4, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI","datePosted":"2025-09-08","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
5 years of experience with data structures or algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
1 year of experience in a technical leadership role.\n
Experience developing accessible technologies.\n

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Software Engineer (Generative AI)","datePosted":"2025-09-09","description":"

Position Overview:

Our Impact:

Your Impact:

Qualifications:

Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
5-7 years of experience in software development
Deep expertise in Python and microservices architecture.
Proven experience with cloud-native development, particularly AWS services.
Strong programming skills and familiarity with AI/ML libraries and frameworks.
Demonstrated ability to work in cross-functional agile teams.
Experience with CI/CD practices and DevOps methodologies

Key Responsibilities:

Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.
Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
Implement solutions leveraging modern design patterns and best practices for full stack development.
Build and maintain RESTful APIs to enable seamless communication between different system components.
Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
Develop and implement automated testing frameworks using Gen AI to enhance the reliability and performance of Gen AI Agents, applications and workflows.
Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.

Keys to Success in this Role:

Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.

Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.

Current Freddie Mac employees please apply through the internal career site.

Time-type:Full time

FLSA Status:Exempt

This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.","hiringOrganization":{"@type":"Organization","name":"Freddie Mac","sameAs":"https://www.freddiemac.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Headquarters 4, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Software Engineer, AI/ML, Google Cloud AI","datePosted":"2025-07-16","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

About the job

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Full Stack, Google Cloud AI","datePosted":"2025-08-05","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n\n\n
5 years of experience with software development in one or more programming languages.
3 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n\n\n
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.\n
Experience developing accessible technologies.

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.\n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI (Remote)","datePosted":"2025-08-01","description":"

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You will report to a Staff Software Engineer and work remote in the United States or hybrid based on proximity to an Experian office.

You'll have opportunity to:

RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation.
Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval.
Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications.
API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes.
Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows.

Qualifications

Required Skills:

Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation.
Python Proficiency (>=3.11, <3.12): Advanced Python skills, including experience with asynchronous programming.
Proficient in AWS environment
Understanding of MCP Servers

Additional Information

Benefits/Perks:

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Experian","sameAs":"https://www.experian.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States, UNITED STATES, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Software Engineer I (Generative AI)","datePosted":"2025-08-27","description":"

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

Samsara’s connected operations cloud, a scalable, cloud-connected sensor platform, collects and stores real-time data from a vast network of hardware devices. Our cloud dashboard and mobile app give customers real-time visibility into their commercial fleet and industrial centre operations, helping them improve safety, efficiency, and sustainability.

We're looking for a Senior Software Engineer to join one of our two teams: Telematics and Sustainability.

Our Telematics teams are at the core of our platform, processing real-time signals—like GPS, Engine RPM, and Fuel Levels—from our IoT devices in vehicles. As a Senior Software Engineer, you'll take ownership of complex features and play a key role in developing solutions that have a tangible, real-world impact. You'll work closely with engineers across the team to define and build our next-generation technology.

The Sustainability team is a cross-functional product engineering team that designs, develops, and maintains solutions to help our customers become more sustainable in their fleet operations. We primarily work across web, mobile, and Spark, and you’ll collaborate with product managers, designers, and firmware engineers to build out our feature sets.

This is a remote position open to candidates residing Poland. Relocation assistance will not be provided for this role.

You should apply if:

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will:

Work with product managers, designers, firmware, and infrastructure engineers to design, build, test, and deliver end-to-end products
Develop skills and knowledge across multiple technologies - Go, GraphQL, Typescript, JavaScript, React, and React Native are some of the components of our technology stack. Direct experience with these technologies is not required
Solve real life problems and optimize fleets globally
Coach, mentor and guide engineers in the team, playing a part in their growth and development. Also, receive support on your own personal development
Maintaining the production systems that your team owns and provide operational support
Grow as an engineer - Samsara engineers are constantly learning. We’re an engineering-first organisation with ample room for progression
Participate in the on-call rotation and outage investigations in the team’s domain
Champion, role model, and embed Samsara’s cultural principles (Focus on customer success, build for the long term, adopt a growth mindset, be inclusive, and win as a team) as we scale globally and across new offices

\nMinimum requirements for the role:\n

5+ years of relevant industry experience
Professional experience working with a team to develop customer-focused products
Strong programming/coding fundamentals in a language such as Java, Python, Golang, or Javascript
Experience designing, building and maintaining large-scale systems
Experience operating, maintaining, and enhancing upon large-scale application services
An ability to estimate, communicate, and deliver upon project milestones with your team

\nAn ideal candidate also has:\n

Experience with Go, JavaScript, TypeScript, or similar programming languages.
Familiarity with multiple tiers, like React Frontends and Microservices
Contributed heavily to driving significant value to their customers
Curiosity about our customers, and is eager to improve their day-to-day experience
Seeks to iterate on new products based on customer feedback

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Benefits

Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ‘@samsara.com’ or ‘@us-greenhouse-mail.io’. For more information regarding fraudulent employment offers, please visit our blog post here.

","hiringOrganization":{"@type":"Organization","name":"Samsara","sameAs":"https://www.samsara.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI, Core","datePosted":"2025-08-30","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience training and deploying generative models, with a focus on real-world applications.
Experience working with large datasets, data cleaning, pre-processing, and analysis.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures/algorithms.
Experience with contributing to open-source projects or publications in relevant conferences.
Experience with doing research work (e.g., graduate work or in prior projects) and working with Gemini models or machine learning frameworks.
Understanding of deep learning architectures and related algorithms (e.g., Transformers) and deploying machine learning models on Alphabet infrastructure (especially TPUs).
Excellent communication, collaboration, and problem-solving skills with a passion for innovation and generative models.

About the job

The Developer AI team is transforming the way software development is carried out at Google. We are bringing new capabilities based on the latest Generative AI (GenAI) research to Google developers, and leading the tech industry’s evolution of how software is built.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Collaborate with DeepMind researchers to train generative models using a unique dataset.
Partner with Alphabet's internal engineering teams to integrate these models into their workflows, transforming them into a live lab for testing research ideas and rapidly iterating on new approaches.
Curate and refine software engineering pre-training, instruction tuning, and evaluation.
Analyze model outputs and user feedback to continuously improve model performance and enable the use of internal software engineering data for training Gemini models.
Explore and apply Large Language Models (LLM) post-training techniques to improve model quality for code generation, code transformation and agentic Computational Linguistics (CL) generation and bug-fixing workflows.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI, LearnX","datePosted":"2025-09-10","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience in AI/ML related engineering.
1 year of experience in a technical leadership role with software design and architecture; leading tech design and driving team execution.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures/algorithms.
Experience in machine learning, building/training AI models, backend data infrastructure or data engineering.
Experience in developing, deploying, managing, and maintaining machine learning models and infrastructure.
Understanding of data engineering practices and principles (e.g., tools, processes, pipelines etc.).
Ability to collaborate with other people, teams across the world and communicate cross-functionally.

About the job

As a Senior Software Engineer at LearnX Zagreb, you will be a key contributor in developing AI driven capabilities and features for learning products in Search Web and Lens. You will work in close collaboration with product, surface specific engineering and research teams. You will include creating a training dataset, fine-tuning, prompt optimization, evaluating model performance, detecting headroom, launching AI driven features and ensuring surface specific quality. You will be involved in designing tech solutions to complex issues, collaborating with stakeholders and driving delivery.

Responsibilities

Drive design and implementation of AI features for education in Search Web and Lens.
Analyze model performance, diagnose loss patterns, and ensure high quality of AI educational user journeys.
Drive cross-team collaboration with product and surface engineering teams, participate in product initiation, plan timelines and ensure engineering delivery.
Propose improvements of the team's processes, practices and ensure technical excellence.
Demonstrate growth mindset, self-reflection, mentor other engineers on the team and share expertise in AI/ML best practices and model development.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zagreb, Croatia","addressCountry":"Croatia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI and Security","datePosted":"2025-08-13","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n
Experience in full stack development Java, Python, Go, Angular, TypeScript or JavaScript and in a common java server framework.

Preferred qualifications:

Experience in building Gen AI and ML Products or in developing security or privacy products.
Experience in common storage services (e.g. MySql, NoSQL systems).
Experience in designing and implementing products along with knowledge of back-end, front-end and storage.
Experience building AI-powered features and ability to guide team of engineers to address the growing threat landscape with protections, advanced threat detection, and incident response.
Ability to build AI-powered features to improve the operational efficiency of security engineering workflows.

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI, Google Workspace","datePosted":"2025-09-01","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n\n\n
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nAI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.\n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.\n

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Computational Photography and Generative AI","datePosted":"2025-08-07","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with computer vision and image processing.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
Experience in machine learning or neural networks.
Experience with Natural Language Processing.
Strong programming skills in C/C++, Python.

About the job

Our team aims to invent and develop amazing innovative experiences for the users of Pixel phones and Google Photos. We use computational photography and machine learning to produce new kinds of pictures, videos, and photographic experiences. Our goal is to make pictures/videos with very high quality that are also engaging, fun, or magical - images that astonish people.

Our technologies typically combine \"classical\" vision and graphics with deep learning. We then optimize our algorithms to run fast on mobile devices or efficiently on servers, where hardware capabilities are limited. We work with several product teams, including the Google Camera App team and Google Photos, and collaborate extensively with other research teams. We focus on technologies that can be launched within 1-2 years and shift to be implemented on hardware for even longer term impact across Google.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.
Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Invent and develop innovative AI features for images and photography, creating magical and innovative user experiences.
Conduct end-to-end work from research to product development within the images, camera, and video domains, and applying innovative research in vision/graphics/ML.
Develop cutting-edge technologies to revolutionize the representation, editing, and creation of visual media, with a focus on computational photography and videography.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA; New York, NY, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Generative AI, Gemini Code Assist","datePosted":"2025-08-05","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with Generative Artificial Intelligence(GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
2 years of Agentics development or GenAI agent development for Large Language Model.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

About the job

Gemini Code Assist is an AI-powered, built for enterprise, SaaS portfolio that enhances the Software Development Life-Cycle (SDLC) by providing contextual code assistance, focusing on quality and performance. In this role, you will be responsible for realizing next-gen solutions to new problems and will recognize how Large Language Models (LLMs) have changed software development, driving new innovative ways.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Use machine learning and generative AI in production applications and solve problems.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA; Kirkland, WA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"AI Recruiter, Google Cloud AI","datePosted":"2025-09-09","description":"

Minimum qualifications:

5 years of experience in recruiting, human resources, business development, business operations or account management.
3 years of recruiting experience at an agency or in-house recruiting team.

Preferred qualifications:

Experience closing candidates and negotiating compensation packages by leveraging expertise with top tech talent.
Ability to manage client relationships, provide consultative skills and work in a large-team environment.
Experience solving complex problems and delivering significant impact as an individual contributor.
Ability to demonstrate personal accountability, strong work ethic, integrity, and proven organizational skills with attention to detail.
Excellent communication and people management skills, with the ability to take initiative and build relationships.

5 years of experience in recruiting, human resources, business development, business operations or account management.

About the job

Google's known for our innovative technologies, products and services -- and for the people behind them. As part of our recruiting team, you're charged with finding the most interesting candidates who bring an entrepreneurial spirit to all they do. You're responsible for guiding candidates through our hiring process and connecting them to the magic of working at Google. You are creative and driven, which allows you to develop lasting relationships with both candidates and hiring managers. You're also comfortable with numbers and drawing insights from analytics to make our hiring process smarter and more efficient.

Individuals applying for this position will not be eligible for immigration sponsorship.

Great just isn't good enough for our People Operations team (known elsewhere as \"Human Resources\"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field.
The US base salary range for this full-time position is $131,000-$192,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $131,000-$192,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Advise Google Cloud AI leadership and hiring managers on talent strategy, organizational structure, and market insights.
Optimize interview processes and technical assessments through collaboration with interviewers.
Streamline hiring operations cross-functionally with HR and Compensation for a seamless experience.
Analyze recruitment metrics and present data-driven reports to identify improvements and inform strategies.
Represent Google Cloud AI at industry events to network with top talent and promote employer branding.

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Minimum qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Coding experience in Python, JavaScript, R, Java, or C++.

Preferred qualifications:

2 years of coding experience in Python, JavaScript, R, Java, or C++.
1 year of experience leading research efforts and influencing other researchers.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Responsibilities

Author research papers to share and generate impact of research results across function and in the research community.
Help in growing research business by sharing research trends and best practices within the community.
Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience developing accessible technologies.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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Would you like to experience Industrial Artificial Intelligence (AI) at its best?

Are you passionate about being part of a successful team?

Join our Artificial Intelligence Team

Our team provides industry-leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry.

Partner with the best

This role will have generative AI knowledge, drive cutting-edge research, enhancing existing AI systems, implementing generative techniques that push the boundaries of what is possible.

As a Generative AI Specialist, you will be responsible for:

Designing and developing of generative AI models, including but not limited to LLMs, VLMs, GANs and Multimodal LLMs.
Conducting and driving forward innovative research in the field of generative AI, leading the team in exploring new methodologies and technologies.
Working closely with cross-functional teams to integrate new generative models into existing AI systems, ensuring seamless integration and optimizing performance.
Developing and testing software components according to customer and technical requirements.
Preparing comprehensive reports and presentations on the impact of generative AI initiatives on the business.

Fuel your passion

To be successful in this role you will:

Have a Master or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a specialization in generative models.
Have proven experience in the development and deployment of generative AI models.
Have excellent communication and collaboration skills, with the ability to work across different disciplines.
Have proven experience in software programming languages, with a focus on Python, including AI libraries eg PyTorch, TensorFlow, Transformer architecture.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

Contemporary work-life balance policies and wellbeing activities
Comprehensive private medical care options
Safety net of life insurance and disability programs
Tailored financial programs
Additional elected or voluntary benefits

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Job Title: Generative AI Engineer
Experience: 6–9 years

About the Role

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities

LLM Applications & Agentic Frameworks

MUST have working experience with LangChain/LangGraph frameworks
Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP.
Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks.
Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.
Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

Advanced AI Experimentation

Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.
Create and leverage synthetic datasets to simulate edge cases and scale training.
Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability)
Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol)

Business Alignment & Cross-Team Collaboration

Translate ambiguous requirements into structured, AI-enabled solutions.
Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have

Microsoft Copilot Studio
DevRev
Codium
Cursor
Atlassian AI
Databricks Mosaic AI

Qualifications

6–9 years of experience in software development or AI/ML engineering
At least 3 years working with LLMs, GenAI applications, or agentic frameworks (LangChain/LangGraph).
Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration
Proven track record of developing functional AI prototypes beyond notebooks.
Strong presentation and storytelling skills to clearly convey GenAI concepts and value.
Ability to independently drive AI experiments from ideation to working demo.

","hiringOrganization":{"@type":"Organization","name":"Zensar","sameAs":"https://www.zensar.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Generative AI Specialist","datePosted":"2025-08-05","description":"Generative AI Specialist

Country: Portugal

Location: Lisboa

Role Overview
We are seeking a Generative AI Specialist and COE Lead to develop and govern AI solutions. You will lead a team to design and implement advanced AI using technologies like OpenAI models and vector databases. Experience in building agents is essential.

You will also define governance frameworks, ensure alignment with organizational goals, address ethical considerations, and optimize AI integration into business processes. Collaboration with stakeholders is key for scalable and responsible AI adoption.

Key Responsibilities

Lead the development and deployment of Generative AI solutions, leveraging tools like Azure OpenAI, vector databases, and related technologies.
Manage and mentor a small team within the Generative AI Center of Excellence, fostering collaboration and innovation.
Collaborate with business units to understand their needs and translate them into AI-driven solutions that add measurable value.
Develop and implement governance policies to ensure responsible and ethical use of Generative AI technologies.
Monitor advancements in Generative AI, identifying opportunities for the organization to stay at the forefront of innovation.
Advocate for best practices in data preparation, vectorization, and AI model training to enhance solution accuracy and scalability.
Provide strategic guidance and act as a subject matter expert on Generative AI to both technical and non-technical stakeholders.

Requirements

Master’s degree in Engineering, Computer Science, or a related field (advanced degrees preferred).
Fluent in English, with excellent verbal and written communication skills. Spanish is a nice to have.
Minimum of 8 years of professional experience, including significant hands-on experience in Generative AI technologies and frameworks (e.g., OpenAI, Hugging Face, LangChain). Python, Docker, Git, CI/CD methodologies
Proven ability to design, build, and optimize AI solutions using techniques to improve GenAI accuracy and performance.
Strong leadership skills with experience managing or mentoring technical teams.
Deep understanding of governance, ethical considerations, and risk management for AI applications.
Familiarity with integrating AI solutions into enterprise systems and workflows.
Proactive problem-solving skills and a passion for driving business transformation through AI.

Sobre nós

No Santander cada um de nós é “Risk Pro”. Isto significa ter a responsabilidade pessoal de identificar, avaliar, gerir e reportar eventuais riscos para o banco decorrentes do desempenho das nossas funções. Vamos dar-te o conhecimento e as ferramentas para seres Risk Pro em todas as situações. Esta cultura de riscos é fundamental para o Santander Way, a nossa forma de trabalhar.

O Banco dispõe, nos termos do previsto na Lei nº 93/2021 de 20 de dezembro, de um canal de denúncias – Canal Aberto, acessível através do link https://secure.ethicspoint.eu/domain/media/pteu/gui/105862/index.html

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Generative AI Engineer

ABOUT FLUTTER ENTERTAINMENT:

Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet.

Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game!

Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed.

FLUTTER ENTERTAINMENT INDIA:

Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 1000+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions.

We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities.

OVERVIEW OF THE ROLE:

The Sisal AI & Automation group is looking for a motivated and versatile teammate, who will assist in developing and deploying AI and machine learning solutions for our business.

As a Generative AI Engineer, you shall collaborate with an industry-leading team and enhance your skills by delivering groundbreaking solutions to continue driving innovation at Sisal.

This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern offices in Hyderabad, India.

WHAT YOU WILL DO:

Across areas such as Sports Betting, Gaming, and other Sisal products, you shall collaborate in the development of advanced machine learning solutions bringing to bear our vast data assets.

You shall have the opportunity to assist in the development of advanced Generative AI to streamline Sisal AI solutions, deploy a variety of systems in production and set Generative AI standard together with the Data Science group.

WHAT YOU WILL NEED:

A Master’s degree qualified in a STEM subject along with 2 to 4 years of experience as an AI Engineer or ML Engineer.
Proficiency in Python programming language and good knowledge of databases.
Experience delivering several production grade AI products in an academic or corporate environment is crucial.
Hands-on experience in Generative AI projects (text generation, image synthesis, code generation, etc.)
Experience with popular generative AI APIs and libraries (OpenAI, Anthropic, Hugging Face, etc.) and experience in building production RAG systems with vector databases.
Exposure to cloud-based machine learning solutions.
Excellent ability to tell a story through data and explain technical concepts to partners and ability to work with minimal supervision

Highly desirable skills:

Experience in developing LLM-based applications and LLM-Ops, leveraging them to tackle business problems is desirable.
Exposure to Azure tools include Azure OpenAI Ecosystem.
Experience in building production grade agentic systems is a big plus
Publications on international journals are a big plus

It is ok if you do not think you tick every box on this list! We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply!!

BENEFITS WE OFFER:

Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development.

This package includes:

Discretionary annual performance bonus
30 days paid leave
Health Insurance for you and your partner, children, and parents or parents-in-law (up to 5 dependents)
A personal interest allowance to let you learn something new or pursue a hobby
Looking to extend your family? You will receive a cash gift of 34,000 INR for your new addition whilst working for us
26 weeks primary carer leave, and 4 weeks secondary carer leave
External learning support of up to £1,000 or equivalent in local currency, dedicated 4 learning “Power Hours” every month during office time, full access to the Udemy and Mindtools platforms, in-house leadership program and many other training opportunities for developing your skills and progressing your career.

WHY CHOOSE US:
Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India.

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Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that generate actionable insights for our business and customers.

This key position involves working with large data sources on Google Cloud Platform (GCP) and Google AI Platform, designing, developing, and implementing cutting-edge generative AI solutions on Vertex AI.

This is a unique opportunity to shape the future of AI within the company, driving innovation by leveraging our cloud-native technology (GCP/Vertex AI). Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.

This role requires being in either our Alpharetta or Atlanta, Georgia office 3 days/week on Tues - Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

What you'll do

● Develop and deploy key components of GenAI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.
● Integrate diverse data sources, data types, and data structures into AI / LLM based solutions, using data and technology best practices.
● Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve response accuracy.
● Integrate GenAI capabilities into data pipelines and dashboards, and APIs for real-time analytics.
● Understand how business requests translate into AI-enabled analytical and technical solutions.
● Develop and maintain a deep understanding of the latest advancements in AI,
particularly in generative AI and its applications in data analysis and insight generation.
● Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.

What experience you need:

● Bachelor’s degree or higher in Computer Science or Computer Engineering, Statistics, Mathematics, or a related quantitative field
● 2+ years in shipping production grade software.
● 1+ years experience in deploying solutions on modern cloud environments.
● Ability to learn and apply new technologies; passion for staying abreast of the latest advancements in Generative AI research and technology; passion for AI research and a strong desire to contribute to cutting-edge projects
● Proficiency in Python, LangChain, and either Java or C/ C++
● Experience with REST API clients and platforms such as Spring/ Flask.
● Strong communication skills of analytical results to technical and non-technical audiences alike

What could set you apart:

● Master’s degree in a related field is a strong plus
● Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
● Strong foundational skills in Linux Operating System.
● Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
● Background in credit risk, financial data analytics or risk modeling.
● Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
● Experience in Business Intelligence, data visualization, and customer insights
generation.
● Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
● Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
● Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
● Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
● Contributions to the AI community through publications, open-source projects, or conference presentations.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

USA-Atlanta JV White

USA-Atlanta-One-Atlantic-Center

Function:

Function - Data and Analytics

Schedule:

Full time","hiringOrganization":{"@type":"Organization","name":"Equifax","sameAs":"https://www.equifax.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA - Georgia - Alpharetta - 30005, United States","addressCountry":"Georgia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Generative AI Intern","datePosted":"2025-08-22","description":"

About Us

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.

Singapore, Singapore (Hybrid)

As Hitachi Rail GTS, we are advancing rail signalling and safety solutions to ensure safe and efficient railway operations worldwide.

Our technologies help to bring billions of people reliably to their destinations by rail every year – making sustainable mobility a reality.

Generative AI Intern (Ref. No. R1010329)

at our location in Singapore

You will enjoy having these responsibilities:

Consulting with managers to determine and refine machine learning objectives.
Working with the Software team and Product Owner for Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms, Generative AI model and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.

You have:

Currently pursuing a degree in Computer Science, Data Science, Mathematics, or a related field.
Knowledge in computational linguistics, generative AI, data analytics, or similar will be advantageous.
Proficiency with Python, Java, or R code writing.
Knowledge of Large Language model frameworks, libraries, data structures, data modeling, and software architecture.
Knowledge of mathematics, statistics, and algorithms.
Analytical and problem-solving abilities.
Great communication and collaboration skills.
Good in time management and organizational abilities.
Candidates who are available to join between Early March 2026 and Mid-March 2026 will be preferred.
Students who are able to commit to a minimum of 6 months full-time credit-bearing internships are preferred.

Our Talent Acquisition Team is looking forward to hearing from you

We look forward to receiving your application in just a few clicks via our career portal.

For further information about Hitachi Rail as an employer visit us on www.hitachirail.com/careers

About us

Our motivation is the mobility turnaround. To achieve this, our teams find innovative products and solutions that ensure the operation and reliability of the entire rail network and increase capacities on the rails.

Our projects are diverse. To make our teams even stronger, we are looking for your support. In return, we offer you an attractive overall package with the following benefits:

Stronger together: Networking through internal networks and working in international teams
Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!
Attractive conditions: A secure and permanent job with a global company

Notes

Equal opportunities and self-determined participation of severely disabled persons and persons of equal status as well as respectful cooperation are firmly anchored principles within Hitachi Rail and its subsidiaries. We also aim to offer all our equal opportunities to start a career and to receive training and further education in our company. We consciously promote diversity and togetherness in our teams.

Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at https://www.hitachirail.com/careers.

At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.

We would be delighted if you would be one of our followers at https://www.linkedin.com/company/hitachirail.

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Generative AI Engineer

Our team of approximately 90 engineers is working in small scrum teams. Each team has end-to-end responsibility for a specific product or part of our architecture. We work on a remote-first basis, coming together in person at our Amsterdam headquarters twice a year.

Our organizational structure is flat, placing a high value on independence and entrepreneurship. The atmosphere is informal and relaxed, creating a highly motivating work environment in which you will work with some of the most inspiring colleagues in the industry.

What is the role about:

As an AI Engineer focused on internal automation, you will play a key role in transforming how we operate as a cloud hosting provider. Your mission is to identify inefficiencies in internal workflows, design intelligent automation solutions, and implement AI-powered tools that boost efficiency, accuracy, and scalability across departments such as operations, support, infrastructure, and finance.

This is a hands-on role that blends technical expertise in AI tooling with a understanding of cloud infrastructure and business processes.

Key Responsibilities

Build and deploy AI models or integrate existing LLM-based tools (e.g. for ticket triage, predictive maintenance, anomaly detection, log analysis, contract summarization, etc.).
Integrate platforms like n8n, LangChain, AutoGen, Zapier, or open-source alternatives to rapidly prototype and scale automations.
Access and process structured and unstructured internal data (e.g., logs, metrics, tickets, CRM, billing) to fuel intelligent systems.
Partner with Engineering teams, Support, Finance, and Security to ensure AI solutions align with technical realities and compliance needs.
Ensure reliability, accuracy, and maintainability of deployed models or workflows; handle retraining, updating, or refining as needed.

What we’re looking for:

Strong programming skills ideally with AI/ML libraries (e.g., scikit-learn, OpenAI API, Hugging Face).
Hands-on experience with workflow automation platforms (n8n, LangChain, Airflow, etc.).
Experience in AI, automation, or data engineering roles.
Familiarity with cloud hosting environments and infrastructure tooling (e.g., OpenStack, Kubernetes, Prometheus, ELK).
Ability to design and implement AI/LLM use cases like summarization, classification, anomaly detection, or chatbot-style interfaces.
Experience in deploying, configuring, and managing self-hosted large language models (LLMs).
Knowledge of data privacy and security principles

Nice to Have

Experience integrating LLMs in internal tools (e.g., Mattermost, Slack, CRM).
Knowledge of observability tools and metrics-driven automation (e.g., automating alert response).
Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
Contributions to open-source AI/ML or automation projects.

Benefits include :

Participation in annual company bonus scheme and company pension
Internet allowance
Working from home policy  
Work from abroad: Up to 4 weeks per year, following policy guidelines
Lease bike plan
25 days of paid time off (and the option to buy or sell up to 5 more days) 
Free lunch, parking, and fresh fruit provided when in the office 
Access to the Leaseweb Academy, a personalized learning platform offering a variety of studies, (Dutch) courses, and trainings 
Attractive relocation packages and an agency that takes care of the entire visa process
Fun events year-round – from virtual pub quizzes to summer parties, company runs, quarterly hackathons and much more
A multicultural work environment (our colleagues are from over 60 countries!) in a company where you can truly make a difference

Ready for the next step?

If you’d like to apply, please do so online. To learn more about us, follow us on LinkedIn or Instagram to get an inside look at life at Leaseweb. For questions, please reach out to Jana Reiss, Talent Acquisition Lead, at: j.reiss@global.leaseweb.com.

We directly source all candidates – any unsolicited profiles received from recruitment agencies will be treated as direct applications.

#LI-Hybrid

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At ResMed, we’re shaping the future of digital health and medical technology — and we’re looking for an engineer who’s ready to push boundaries with Generative AI.

As a Generative AI Engineer, you won’t just write code. You’ll design, build, and deploy intelligent workflows on AWS that transform the way our engineers, QA specialists, and regulatory teams work. From modernizing legacy systems to automating testing and compliance, your AI solutions will directly improve how life-changing medical technology gets delivered to millions worldwide.

You’ll thrive if you’re excited about solving complex problems, comfortable working independently, and energized by collaborating with a small, high-impact team that values creativity, speed, and real-world results.

Let's talk about What You’ll Do

Build Next-Gen AI Workflows: Design and deploy Generative AI solutions that eliminate repetitive work, boost efficiency, and free teams to focus on what matters most.
Modernize Systems: Bring cutting-edge AI into ResMed’s tech stack — from fine-tuning LLMs with data flywheels to integrating with MCP servers.
Spot High-Value AI Opportunities: Identify the projects where AI will deliver the most impact, balancing customer needs, cost, and scalability.
Partner with Experts: Work side-by-side with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions.
Engineer for Scale: Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost-effective.
Innovate & Iterate: Take ownership of projects end-to-end, adapt quickly based on feedback, and help teammates succeed along the way.

Let's talk about What You Bring

Experience: 2+ years of software engineering, with hands-on experience developing and deploying generative AI solutions.
Relevant Engineering or Science degrees (Software, Computer)
Technical Strength: Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face).
AI Expertise: Familiarity with multi-agent systems, model fine-tuning, and building data flywheels.
Collaboration Skills: Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear.
Problem-Solving Drive: You know how to design AI systems that are not just powerful but practical, measurable, and safe.

Nice to Have

UI/UX or frontend development (React, JavaScript) experience.
Familiarity with JAMA or requirements management tools.
Knowledge of FDA regulations, medical device testing, or integrating AI with hardware systems.

What Success Looks Like

Secure, scalable AI workflows live on AWS, transforming engineering, QA, and compliance.
Significant reductions in engineering effort and error rates through AI-powered automation.
Production-ready AI tools — from fine-tuned models to multi-agent systems — integrated seamlessly into ResMed’s internal ecosystem.

This role is your chance to shape how AI is used in life-changing healthcare technology. If you’re eager to turn big ideas into real-world impact, we’d love to hear from you.

#LI-APAC

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

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Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as a Generative AI Engineer. At Barclays, our vision is clear –To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

To be successful as a Generative AI Engineer, you should have experience with:

Building and deploying generative AI models on cloud services (LLMs, fine-tuning, RAG, Agentic)
Python programming with GenAI AI/ML frameworks
Prompt engineering / optimization and model evaluation techniques
Vector databases and embedding technologies
Cloud-based AI services (preferably AWS SageMaker and AWS Bedrick also including Azure ML, GCP Vertex AI)

Some other highly valued skills may include:

Experience with AI orchestration toolsets (LangChain, LlamaIndex, CrewAI)
Experience with containerization of AI workloads using docker
Understanding of AI ethics and governance frameworks
Experience with cloud-based application development and integration preferably on AWS
Experience with containerization of AI workloads using docker

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

The location of your role is Glasgow.

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Role Description:

We are seeking an innovative Generative AI Specialist to join our Marketing & Communications team. In this role, you will leverage generative AI tools and technologies to enhance content creation, streamline processes and automate content distribution across our digital channels. You will be responsible for bringing our generative AI capability and product roadmap to life through our web experience, driving cross-channel digital experience (DX) and user experience (UX) in collaboration with digital experience teams and channel owners. Additionally, you will own our generative AI search strategy and content mapping for the new Arcadis.com, ensuring a seamless and engaging experience for our audiences.

\n\n \n\n

Key Responsibilities:

AI Integration & Strategy:

Design, test, and refine prompts for AI models to optimize output quality and relevance.
Identify and implement generative AI tools to support content creation, idea generation, and campaign development.
Collaborate with cross-functional teams to define AI use cases aligned with business goals.
Develop best practices and guidelines for ethical and effective use of AI in marketing.
Own and drive the generative AI search strategy and content mapping for the new Arcadis.com.
Ensure ethical, secure, and responsible AI use by aligning with compliance and governance standards.

Web & Cross-Channel Experience:

Bring the generative AI capability and product roadmap to life through our web experience, ensuring innovative and user-centered solutions.
Work closely with the UX lead and channel owners to drive cross-channel DX/UX improvements using generative AI.
Optimize AI-generated web content to enhance engagement and usability across platforms.
Automate content distribution for digital channels, ensuring efficient and effective reach.

Research, Data Analysis & Modelling:

Conduct research and data analysis to inform AI-driven strategies and solutions.
Conduct research and experimentation to improve prompt engineering techniques.
Develop predictive models for content performance and audience interaction.
Utilize analytics and reporting tools to create automated reporting systems.

Training & Enablement:

Train MarComms team members on how to effectively use generative AI tools in their workflows.
Provide ongoing support and troubleshooting for AI tool usage across the team.
Stay updated on emerging AI trends and share insights with the team.
Create technical documentation, best practices, and training materials.

Performance Analysis & Reporting:

Monitor the effectiveness of AI-driven content and campaigns using analytics tools and metrics.
Report on AI impact, highlighting successes and areas for improvement.
Evaluate cost-effectiveness and ROI of generative AI tools and solutions.

Requirements (Knowledge, Experience & Key Qualifications):

Bachelor's or higher degree in Computer Science, Data Science, AI, or a related field.
3+ years of experience in machine learning, Natural language processing, or deep learning roles.
Extensive experience with prompt engineering and building AI assistants/agents using Copilot, ChatGPT, and/or other tools.
Extensive experience in applying GenAI to business use cases and using it in professional settings.
Experience in crafting and fine-tuning prompts for AI models.
Understanding of generative AI ethics, risks, and mitigation strategies.
Analytical mindset with the ability to interpret model outputs and optimize performance.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication skills and a collaborative mindset.
Strong attention to detail
Good project management skills
Able to prioritise workload, work well under pressure and deliver high quality output that meets tight deadlines
Ability to influence and coach digital communications capabilities in others
Excellent working knowledge of Microsoft Office products
\n

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. At Arcadis, you will have the opportunity to build the career that is right for you. Because each Arcadian has their own motivations, their own career goals. And, as a ‘people ﬁrst’ business, it is why we will take the time to listen, to understand what you want from your time here, and provide the support you need to achieve your ambitions.

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Create the future of e-Health together with us by becoming a Software Engineer – Generative AI

At CompuGroup Medical, our mission is to build groundbreaking solutions for digital healthcare. We aim to revolutionize how healthcare professionals produce, access, and utilize information, enabling them to focus on the core value of their work: patient outcomes. As one of the Best in KLAS organizations in the industry, we offer a full scope of Electronic Health Records (EHR), Billing, Payment services, and Revenue Cycle Management (RCM) services. We provide our team members with the training and solutions to grow across various technologies and processes.

Job Role:

We’re seeking a skilled and talented Generative AI Engineer that has experience both with implementing different API integrations and developing Generative AI and Agentic systems through various AI techniques; prompts, fine tuning, etc. The ideal candidate will be comfortable working on a wide range of projects such as new AI applications, 3rd party system integrations, and backend enhancements and have hands-on experience in deep learning, natural language processing (NLP), and generative models. You will collaborate closely with cross-functional teams to build innovative AI products that create, enhance, or analyze content across various domains.

What You Can Expect from Us:

High Performing Team: You will be part of a close-nit, elite team within CGM that will move fast, with accuracy and hit deadlines with confidence.
In-Person Team Environment: The role and the team will be onsite in Noida. We’re making work human again. No more working with people that you never meet in person. In this role, you will build in-person relationships with your team, and friendships for years to come.
Comprehensive Benefits: Extensive group health and accidental insurance programs.
Seamless Onboarding: A safe digital application process and a structured onboarding program.
Engagement Activities: Tons of fun at work with engagement activities and entertaining games.
Career Growth: Various career growth opportunities and a lucrative merit increment policy.
Job Security: A recession-proof and secure workplace for our entire workforce.
Flexible Transportation: Choose between a self-transport allowance or our pick-up/drop-off service.
Subsidized Meals: Enjoy our kitchen and food hall with subsidized meals, for your convenience.

Principal Responsibilities and Duties:

Write clean, efficient, and well-documented code manually and in an automated fassion using tools like GitHub Copilot.
Work with product teams to understand user requirements and translate them into AI-driven solutions.
Develop and refine prompts for known large language models (LLMs) to enhance AI model performance using techniques like Retrieval-Augmented Generation (RAG).
Develop, train, and optimize generative AI models including text, image, audio, or video generation systems.
Fine-tune pre-trained models such as GPT-5 and Gemini 2.5 Pro for specific use cases and datasets.
Monitor and maintain API services in production environments.
Develop Agentic AI solutions
Integrate AI models into scalable production pipelines and applications.
Continuously research and implement the latest scientific advances in generative AI. Learn new technologies and continuously try new AI tools to better yourself and the team.
Take ownership not only for individual deadlines and product releases, but also for those of your teammates. This team truly operates as one unit

You Are a Good Fit for This Job If You:

Possess excellent problem-solving skills and a passion for innovation.
Have 2+ Years of experience with generative AI prompt engineering using technologies like GPTs, Claude 3.5 Sonnet, and Gemini, etc. and LLM.
Hands-on experience with Agentic AI models to automate manual processes.
Have 2+ Years of experience with Python.
Hands-on experience developing APIs.
Hands-on experience on training or fine tuning of machine learning models.
Hands-on experience with RAG implementations.
Solid understanding of NLP, computer vision, or other AI domains related to generative tasks.
Startup experience is a plus.
Bachelor's degree or have the equivalent in relevant work experience.

How to Apply: If you are a self-motivated individual with a passion for developing comprehensive software solutions and a desire to grow in the field of Healthcare Technology, we encourage you to apply for this exciting opportunity.

Even if you do not meet all the requirements of this job post, we encourage you to apply!

Convinced? Submit your persuasive application now (including desired salary and earliest possible starting date). We create the future of e-health. Become part of a significant mission.

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Lirio is healthcare’s leading AI-driven personalization engine empowering healthcare organizations to better engage and support consumers throughout their journey to better health. Our clients are leveraging Lirio’s proprietary Objective-Driven, Agentic AI Framework to provide cohesive, personalized healthcare experiences for their patients that drive meaningful improvements in health outcomes by assisting each person in navigating and overcoming their own unique challenges to improved health. Lirio’s AI Framework deeply integrates behavioral science principles to initiate and drive sustained behaviors across our clients’ populations, optimizing consumer engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. The VP Generative AI is responsible for the design, development, and integration of Generative LLM-based conversational models within the broader Lirio AI architecture. The position requires deep collaboration with the rest of the AI team, as well as our behavioral scientists, to realize novel solutions that leverage and contribute to our unique architecture and learning representations to address the unique challenges of deploying patient-facing conversational tools in healthcare that are both measurably effective and trustworthy.

The VP Generative AI will lead the integration of conversational, generative-LLM-based technologies into Lirio’s broader Objective-Driven Multi-Agent Framework.

Core Scientific and Product-Related Responsibilities:

Lead research initiatives to drive conversational AI model improvements and guide the creation of innovation generative AI-driven solutions and products.
Work closely with the broader team of AI researchers and engineers to find opportunities to improve our conversational technologies, as well as to optimally integrate them into our objective-driven architecture and overall agentic framework.
Work with the team to ensure we are fully leveraging conversational feedback in our proprietary behavior-based foundation model.
Research, develop, and improve techniques to ensure that our uniquely formulated behavioral-science content libraries and knowledgebases can be optimally leveraged in real-time by our language models.
Align and leverage feedback mechanisms within the Objective-Driven AI framework with alignment feedback for our LLM-based conversational models.
Work with personalization experts on the broader AI team to leverage personalized embeddings and broader context in patient-facing conversational models.
Contribute to research on the safety and trustworthiness of medical chatbots.
Plan and carry out the integration of their scientific research advances within Lirio’s products, while following Lirio’s software engineering processes.
Oversee the design, build and maintenance of scalable, secure generative AI platforms and core services.
Contribute to Lirio’s overall mission of improving health outcomes for everyone.

Other Qualifications/Experience

The ideal candidate will have deep expertise in LLMs, conversational AI, deep learning, transformer architectures, attention mechanisms, and related concepts.
They will also have practical LLM engineering experience involving model alignment, fine-tuning, RAG, guardrail implementation, agentic communication protocols, etc.
They will also have sufficient expertise in general machine learning principles and theory to have detailed collaborative discussions with other experts on the team focused on deep reinforcement learning, multi-task learning, Joint Embedding Predictive Architectures (JEPA), optimization, etc.
They will have demonstrated the ability to contribute to scientific advances through publications and other demonstrations of thought leadership
The ideal candidate will also have experience operationalizing conversational AI models, as well as experience in the deployment and hosting of agentic models. Experience in deploying AI technologies within the healthcare space is highly desirable, though it is not required.

Education

PhD in Computer Science, Computer Engineering, Mathematics, or a related field.
7+ years of experience
The ideal candidate will have an extensive R&D background in machine learning with a particular focus on LLMs and conversational models, including both research experience and real-world engineering experience.

Expected Salary Range $220k + (Salary is negotiable and Competitive within the Market)

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Patrianna is a rapidly expanding product development company headquartered in Gibraltar, with a dynamic team spanning the globe. We are on the lookout for exceptional talent—driven, ambitious individuals who are ready to elevate business functions with expertise, adaptability, and a passion for continuous growth.

We’re pioneering how generative AI transforms data into opportunity. As a Generative AI Engineer, you’ll play a pivotal role in building intelligent systems that amplify innovation, improve decision-making, and accelerate our mission to use data for good. This is your chance to help shape not just our AI capabilities, but the future of a business that values curiosity, collaboration, and impact.

You’ll sit at the intersection of R&D and real-world application, working with cutting-edge models (LLMs, diffusion models, and beyond) to create practical, scalable solutions. Whether it’s automating complex pipelines, designing intelligent APIs, or integrating AI deeply into our core platforms, your work will influence the entire Patrianna ecosystem.

We’re looking for someone who’s not only technically sharp, but purpose-driven - ready to learn fast, own outcomes, and build alongside others who care deeply about the same things. At Patrianna, growth isn’t just encouraged, it’s expected. And we back that with the support, trust, and flexibility you need to do your best work.

What You’ll Be Doing

Build & Deploy Generative AI Solutions

Lead the development and deployment of LLMs, diffusion models, and other generative AI technologies to power capabilities like intelligent content generation, data synthesis, and predictive analytics.

Explore and experiment with new techniques and tools to keep Patrianna at the leading edge of applied AI.

Automate & Optimize Data Workflows

Design and build AI-powered automation that improves data extraction, transformation, and analysis.

Help us move from data-rich to insight-rich.

Prompt Engineering & Model Optimization

Craft high-performing prompts, fine-tune models, and implement retrieval-augmented generation (RAG) to deliver contextual, trustworthy outputs across diverse use cases.

Build APIs & Seamless Integrations

Develop robust, scalable APIs to connect generative AI models to internal platforms and external data sources - enabling secure, performant, and real-time access to AI capabilities.

Shape the Data-AI Strategy

Partner with Data, IT, and Business teams to define and deliver on strategies for synthetic data generation, training dataset readiness, and AI-enabling data infrastructure.

Prioritize Governance & Responsible AI

Contribute to a culture of ethical AI by ensuring transparency, explainability, and fairness across all deployed models - aligned with Patrianna’s data integrity and governance standards.

Document, Share, and Scale

Produce clear, reusable documentation for models, prompts, APIs, and workflows to foster knowledge sharing and support a scalable AI ecosystem at Patrianna.

What You’ll Bring

Required skills

Bachelor’s degree in Computer Science, AI, Data Science, or a related quantitative field.

Natural curiosity and a proactive, solution-oriented mindset.

Practical experience with Google Cloud Platform—especially Vertex AI and Generative AI Studio.

Proficiency in Python and key frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

Strong grasp of LLMs, neural networks, and deep learning fundamentals.

Experience with data modeling, ETL, and automation in AI contexts.

Familiarity with CI/CD workflows and version control in AI/ML projects.

Desirable skills

Google Cloud certifications in Machine Learning or Data Engineering (or equivalent hands-on experience).

Previous work in fine-tuning or developing generative models.

Expertise in prompt engineering, retrieval-augmented generation, and AI model lifecycle management.

Strong experience in building and scaling APIs for AI integrations.

A collaborative, communicative approach to solving complex, cross-functional challenges.

Familiarity with MLOps tooling and orchestration frameworks.

Why Join Patrianna?

At Patrianna, you won’t just work on cutting-edge technology - you’ll help shape how it’s used to solve real problems. We're a company that believes in learning by doing, that values outcomes over egos, and that rewards those who take initiative and bring others along.

Whether you’re piloting a new model or co-creating a solution with business stakeholders, you’ll be part of a culture that values growth, impact, and trust. We support flexible ways of working and invest in your development - because when you grow, Patrianna grows.

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture and testing/launching software products.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

New Product Introduction (NPI) and Platform Readiness team within AI Hypercomputer Infrasturctue organization helps bring new Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) generations to the Google Cloud platform and enables end-to-end AI/ML compute experience for Google Cloud users. We help bring up and qualify the complete Cloud TPU and Cloud GPU Hypercomputer stack, including VMs, Networking, Storage, Google Kubernetes Engine (GKE) and software tool chains, etc.

We build and deliver the telemetry infrastructure for both the GPU/TPU fleet as well as the critical AI/ML workloads. We optimize the stability and performance for high priority AI/ML workloads across the stack. We also do model benchmarking and optimizations for standard models during the NPI process.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Build and lead strategic technical alignment with major organizations across Google (PIE, GCE, GKE, GCS, etc.) to accelerate the velocity of bringing the Machine Learning Hardware to Google Cloud with dynamic and engaged Time to Mitigate (TTM) goals.
Use your extensive expertise in distributed systems and machine learning to develop and execute multi-year plans for validating end to end stack for TPU and GPU Products.
Ensure that our products deliver performance and stability to make our AI/ML customers successful and meet the demands of the growing business.
Develop strong collaborative relationships across organizational boundaries with cross-functional teams to achieve the delivery of a high performing
end to end stack with components delivered by teams across these organization boundaries.
Provide technical leadership and mentorship to the team as an overall Über Tech Lead (UTL).

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with Distributed Computing or System Design.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.

About the job

Responsibilities

Design, develop, and deploy scalable, production-level AI agents focused on cloud cost management within Google Cloud Platform.
Write clean, high-quality, and well-tested code for the core components of our AI framework, including systems that report cost drivers, recommend savings strategies, and forecast the impact of optimizations.
Lead and participate in design reviews with peers and stakeholders to select appropriate technologies for building robust and scalable AI-driven recommendation and forecasting systems.
Triage, debug, and resolve complex issues within the AI cost optimization systems, analyzing root causes and their impact on service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Software Engineer III, Infrastructure, Google Cloud AI","datePosted":"2025-08-29","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C, C++, Python, or Go), or 1 year of experience with an advanced degree.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience developing accessible technologies.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Data Scientist (Generative AI)","datePosted":"2025-07-21","description":"

We're seeking someone to join our team as a Data Scientist (Generative AI). This role is pivotal in leveraging advanced analytics and Artificial Intelligence (AI) capabilities to improve productivity, enhance the employee experience and shape strategic decision-making.

As part of our dynamic Budapest Analytics Center of Excellence, you will help in developing Generative AI-based solutions, data driven applications, statistical and machine learning models as well as enhancing our understanding of people data patterns and trends.

In the Human Capital Management division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools, they need to succeed. This is a position within the Research & Insights team, which focuses on leveraging advanced analytics and Artificial Intelligence (AI) capabilities to improve productivity, enhance the employee experience and shape strategic decision-making on talent.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

- Collaborate on the creation, development and evaluation of GenAI-based solutions to enhance internal HR processes
- Leverage large language models and traditional natural language processing techniques to analyze and improve the services provided to employees
- Construct and refine machine learning and statistical models to answer research questions relevant to informing business strategy related to workforce and talent analytics
- Work closely with colleagues and business stakeholders to understand their needs and deliver impactful analytics solutions

What you'll bring to the role:

- You have 5+ years of professional experience related to AI, data science or statistics; experience in natural language processing, large language models and/or generative AI is a plus

- BSc or MSc in Mathematics, Computer Science, Physics, Economics, or a related quantitative field
- You are skilled in Python and understand various data sources and technologies such as relational databases, data lakes and APIs
- You possess strong interpersonal skills and can communicate effectively

What you can expect from Morgan Stanley:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Morgan Stanley Budapest is an integral part of the Firm’s global critical business functions including Technology, Finance, Risk, Institutional Securities and Wealth Management. Morgan Stanley has been rooted in the Budapest community since 2006 and is considered a leading employer among the area’s highly skilled talent. Our innovative team delivers deep technical and mathematical expertise to support the Firm’s capabilities in quantitative analysis, data analysis, and risk management. Learn more about our unmatched culture in Morgan Stanley Budapest.

Reference: #LI-EG1 #BPMM #LI-Hybrid

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

","hiringOrganization":{"@type":"Organization","name":"Morgan Stanley","sameAs":"https://www.morganstanley.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest Millennium Tower III, Hungary","addressCountry":"Hungary","addressRegion":"Europe"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Founding Generative AI Engineer","datePosted":"2025-07-15","description":"

Founding Generative AI Engineer

San Francisco, USA

About us

ResiQuant is revolutionizing how the world understands the built environment exposed to natural disasters. From earthquakes to wildfires and hurricanes, the impact of climate change and urbanization is intensifying—and yet, decision-makers are forced to rely on fragmented, static, and often inaccurate property data.

That changes with ResiQuant. We are building the world's first agentic AI that fuses structural engineering with advanced computer vision to transform the world's NatCat-exposed industries, starting with the $200B property insurance industry. Our platform automates submission processing and enriches data, enabling insurers to elevate underwriting precision and productivity.

Trusted by leading US property insurers, ResiQuant serves as the definitive source of property intelligence—ensuring that portfolios dynamically reflect evolving building codes, ordinances, and local construction practices, providing actionable insights for informed decision-making.

Fueled by an unrelenting focus on protecting lives, property, and livelihoods, ResiQuant is building the future of property risk intelligence at a time when it has never been more crucial.

Overview

We're seeking a visionary Founding Generative AI Engineer to architect the future of AI-driven property risk intelligence. As a founding team member, you'll design and build powerful agentic AI systems from the ground up, while shaping our AI culture and strategy.

Start Date: Immediate

Key Responsibilities

Design and implement state-of-the-art multimodal AI systems for text and visual data processing
Build production-ready generative AI applications with human-in-the-loop workflows
Architect scalable AI infrastructure and establish technical standards
Develop AI systems that integrate domain expertise with machine intelligence
Lead technical innovation and mentor engineering team members

Required Qualifications

5+ years experience with production Generative AI, LLMs, and Vision-Language Models
Proven track record with multimodal AI systems processing both text and visual data
Strong background in MLOps, model deployment, and production AI systems
Experience with human-AI collaboration frameworks
Expert-level Python programming and modern ML frameworks

What We're Looking For

Deep expertise in LLM/VLM architectures and fine-tuning
Experience building AI systems that integrate human expertise
Strong background in cloud infrastructure and scalable system design
Technical leadership experience in fast-paced environments
Passion for applying AI to solve real-world challenges

What We Offer

Founding team equity with significant upside potential
Competitive salary and comprehensive benefits
Opportunity to build cutting-edge AI at the intersection of engineering and disaster science
Real-world impact shaping the future of catastrophe insurance and mitigation
Vibrant startup culture with access to cutting-edge technology

Location

San Francisco Bay Area (in-person required)

ResiQuant is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

","hiringOrganization":{"@type":"Organization","name":"Pear VC","sameAs":"https://pear.vc"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Product Strategy - Generative AI","datePosted":"2025-07-15","description":"The Product Strategy team's mission is to ‘shape the best strategic direction for Meta’. As part of the Chief Strategy Office, we enable Meta to most effectively allocate resources, both within and across product portfolios, by providing a holistic understanding of our products, markets, and opportunities to service customer needsProduct Strategy - Generative AI Responsibilities

Build an understanding of our existing business using internal and external data
Strategically evaluate new product opportunities, and how they fit into a product portfolio
Work with cross-functional partners (Product, Data Science, Engineering, User Research, Marketing, Finance, Legal and others as needed) to surface opportunities and threats, outline data-driven strategic decisions, and frame actionable product recommendations
Effectively present and communicate actionable insights and recommendations to executives, product and business leaders, and cross-functional partners, in order to influence product roadmap decisions
Have an overall understanding of the direction and market opportunities within Generative AI and translating these insights into actionable recommendations and outcomes

Minimum Qualifications

12+ years of experience in management consulting, strategy, finance, business operations, corporate strategy, investment banking, product management, or similar
Quantitative, analytical and conceptual problem-solving skills combined with business acumen
Experience structuring and solving product problems, and influencing product decisions to move insights to action

Preferred Qualifications

Masters’ degree or equivalent in business, marketing, analytics, engineering, or other related quantitative discipline (e.g. MBA)
3+ years of experience leading strategy projects at a consulting firm, investment bank, or in a corporate strategy team
Experience in digital advertising or consumer internet space, including social, communications, media, and entertainment verticals
Experience working in an ambiguous and rapidly changing environment
Familiarity with GenAI consumer apps or Generative AI developer/enterprise offerings

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$187,000/year to $258,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain and Prompt Engineering.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 3+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain, Prompt Engineering and Agentic AI.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain, Prompt Engineering and Agentic AI.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Prompt Engineering and Agentic AI.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain and Prompt Engineering.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain and Prompt Engineering.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Staff Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 7+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain and Prompt Engineering.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Engineer, Generative AI","datePosted":"2025-08-02","description":"

Company Description

👋🏼We're Nagarro.

Job Description

REQUIREMENTS:

Total experience 3+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain, Prompt Engineering and Agentic AI.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex).
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to AI ethics, responsible AI practices, and bias mitigation techniques.
Familiarity with GANs, VAEs, and other generative modeling approaches.
Excellent problem-solving, analytical thinking, and communication skills.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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