AI Engineer

About our company:  
Welcome to Decision Foundry!

We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels. 

Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.

We are a dynamic team at the forefront of Generative AI innovation. Our mission is to design scalable, real-world solutions using cutting-edge ML, NLP, and LLM technologies—transforming how brands engage, automate, and optimize their digital workflows. We value curiosity, persistence, and a bias for action.

We win as an organization through our core tenets. They include: 

·       One Team. One Theme. 

·       We sign it. We deliver it. 

·       Be Accountable and Expect Accountability. 

·       Raise Your Hand or Be Willing to Extend it

What You’ll Do

• Own end-to-end AI/ML projects: From requirements gathering, prototyping, and data wrangling to deploying scalable pipelines in production.
• Design and implement LLM-powered applications (chatbots, RAG, prompt engineering, content generation).
• Tackle new use cases—learning new frameworks or technologies as needed, and always delivering tangible results.
• Collaborate across marketing, engineering, and data teams to embed GenAI tools in business-critical workflows.
• Optimize and troubleshoot complex workflows (NLP, ML Ops, LLMOps, etc.) with a detail-oriented, hands-on mindset.
• Continuously improve by automating reporting, boosting accuracy, and scaling ML/AI solutions.
• Contribute to a culture of experimentation, rapid iteration, and continuous learning.

Requirements

Must-Have Skills & Experience

• 2–3 years of hands-on experience in data science, ML, NLP, or GenAI roles—ideally with proven project delivery (ideally both independent and collaborative).
• Strong Python proficiency (pandas, scikit-learn, & ML/DS ecosystem).
• Experience with LLMs, vector databases, prompt engineering, RAG, or fine-tuning and deploying Generative AI solutions.
• Exposure to cloud platforms (GCP or AWS); familiarity with ML pipeline tools (Docker, MLOps CI/CD workflows).
• Demonstrated ability to learn new frameworks/tools quickly and “figure things out” independently.
• Excellent debugging, optimization, and analytical skills for scalable AI workflows.
• Bonus: Experience with collaborative cross-functional work (marketers, engineers, product teams).

What Sets You Apart

• You’re a builder: you like to own delivery, no matter the problem.
• You’re resilient under deadlines & comfortable learning on the fly and shipping under ambiguity.
• You love working across the stack (from ML modeling to backend integration, to cloud deployment).
• You bring a growth mindset and a record of getting feedback, iterating, and improving solutions.

Nice-to-Have

• Working knowledge of Google Cloud (Vertex AI, BigQuery, etc.) or similar stacks.
• Experience with analytics/reporting automation, web scraping, or multi-modal data handling.
• Interest or early exposure to MLOps, LLMOps, and AI workflow optimization.
• Passion for sharing knowledge and collaborating in a fast-paced, energetic environment.

Benefits

Why Join Us?

• Work on real-world, high-impact AI solutions—not just POCs or demos.
• Learn and grow with a team that values experimentation, rapid delivery, and continuous professional development.
• Opportunity to drive projects end-to-end and shape how GenAI transforms major industries.