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Smart Working Solutions logo

Senior AI Engineer (Remote, Full-Time) [AS237]

Posted about 2 months ago

RemoteIndiaSE
About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role
We are looking for a Senior AI Engineer to join a fast-paced project focused on delivering a fully functional tender response platform end-to-end within a defined 6-week engagement.

This is a highly hands-on engineering role where you will work closely with a small senior team to build and deliver a production-ready AI-enabled platform using modern AWS services and infrastructure tooling.

The ideal candidate is someone who can operate independently, move quickly, and contribute across backend systems, AI workflows, infrastructure, and integrations while maintaining strong engineering quality and delivery focus.

This role is heavily backend-focused and requires someone comfortable taking ownership of implementation and execution in a lean, delivery-oriented environment.
### Responsibilities
  • Design, build, and implement an end-to-end AI-powered tender response platform.
  • Develop and maintain backend services and AI workflows using AWS-native technologies.
  • Build and manage infrastructure using Terraform and cloud-native best practices.
  • Implement AI and retrieval workflows leveraging AWS Bedrock and vector database technologies such as PGvector.
  • Design and orchestrate scalable workflows using AWS Step Functions.
  • Collaborate closely with senior technical stakeholders to deliver project milestones within tight timelines.
  • Contribute to architecture decisions, backend integrations, and deployment workflows.
  • Ensure solutions are scalable, maintainable, and production-ready.
  • Troubleshoot and resolve technical issues across infrastructure, backend services, and AI components.
  • Support testing, deployment, and optimisation activities throughout the project lifecycle.
  • Operate effectively in a fast-paced environment with high ownership and minimal oversight.
  • ### Requirements
  • 6+ years of software engineering or backend engineering experience.
  • Strong hands-on experience with AWS cloud services in production environments.
  • Experience working with AI/LLM-related cloud tooling and workflows.
  • Experience with Terraform and Infrastructure as Code practices.
  • Experience building backend systems and distributed workflows.
  • Hands-on experience with AWS Step Functions.
  • Familiarity with vector database technologies such as PGvector or similar vector search solutions.
  • Experience integrating AI services such as AWS Bedrock or similar LLM platforms.
  • Strong backend engineering and API integration experience.
  • Ability to independently deliver technical solutions end-to-end.
  • Strong troubleshooting, debugging, and problem-solving skills.
  • Comfortable working in a highly delivery-focused environment with tight timelines.
  • Strong communication and collaboration skills.
  • ### Nice to Have
  • Experience building AI-powered document or workflow automation platforms.
  • Experience working with retrieval-augmented generation (RAG) systems.
  • Familiarity with serverless architecture patterns.
  • Experience with PostgreSQL and data modelling.
  • Exposure to frontend technologies and lightweight UI implementation.
  • Experience working in startup or small-team environments.
  • Familiarity with CI/CD pipelines and cloud deployment automation.
  • ### Benefits
  • Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
  • No Weekend Work: Real work-life balance, not just words
  • Day 1 Benefits: Laptop and full medical insurance provided
  • Support That Matters: Mentorship, community, and forums where ideas are shared
  • True Belonging: A long-term career where your contributions are valued
  • 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one 
  • At Smart Working, you’ll never be just another remote hire.

    Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

    If that sounds like your kind of place, we’d love to hear your story. 

    Job details
    Workplace
    Remote
    Location
    India
    Experience
    SE
    Smart Working Solutions logo
    Smart Working Solutions
    View company page

    Smart Working is Tech Talent as a Service - building high-performance global engineering teams without the friction, risk, or overhead of legacy hiring models. A low-churn model that ensures you get exactly the right talent you need - on time, every time... with long-term support. 🌍 We hire exceptional engineers locally and offer stable, remote, and impactful roles helping build meaningful technology. Our fully-embedded teams help 60+ clients in the UK and USA build serious products and solutions. 🔁 Long-term support - we manage talent across the full lifecycle, from vetting to payroll, so you can focus on what matters most: building your business. ✨ What makes Smart Working different: ✅ Top 1% rigorously vetted global talent ✅ Fully embedded, culturally aligned teams working your hours ✅ Full support across performance, payroll, compliance, and HR operations ✅ Continuous AI training - future-proofed, super-efficient teams We don’t just fill seats. We build great tech teams that last - and deliver.

    Employees
    576
    Industry
    IT Services and IT Consulting
    Headquarters
    London
    Specialties
    Software Development Custom Software Solutions Product Engineering End-to-End Software Delivery Scalable Application Development Cloud-Native Development Web Application Development Backend & API Development Frontend Engineering Full-Stack Development Technology Consulting Digital Product Development System Architecture & Design Platform Engineering Agile Software Delivery DevOps & CI/CD Enablement Quality Engineering & Automation Data-Driven Applications Secure & Compliant Software Systems Long-Term Technology Partnerships

    Key team members

    Geetika Nandwani

    Geetika Nandwani

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