AI Full Stack Engineer

Role: Senior Full Stack Developer, AI Applications Experience: 8-10 years Location: Gurugram, Haryana, India Purpose We are looking for a senior, technically strong Full Stack Developer who can independently design, build, maintain, and support AI-enabled applications for Finance Technology. The role requires end-to-end ownership of delivery, strong problem-solving skills, sound technical judgement, and the ability to work with business and technology stakeholders with minimal supervision.

The candidate should have a good understanding of AI and Generative AI concepts and be able to translate practical use cases into secure, scalable applications.

Key responsibilities

Application build Design, develop, and ship full stack features across the UI, APIs, and data access layers. Implement and extend AI-assisted workflows (chat, retrieval, document Q&A, copilots) using approved enterprise model access. Write clean, tested TypeScript and Python, with reusable components rather than one-off scripts.

Design solutions for scalability, maintainability, security, observability, and supportability rather than focusing only on feature delivery. Perform technical reviews, establish coding and engineering standards, and mentor less-experienced developers where required. Independent delivery and technical ownership Own applications and enhancements end to end, including requirement clarification, solution design, development, testing, deployment, production support, and ongoing maintenance, with minimal supervision.

Independently manage technical issues, defects, environment problems, and production support; perform root-cause analysis and drive issues through to closure. Work directly with business users, testers, architects, Info. Sec, data, and integration teams; track dependencies, communicate status clearly, and proactively drive delivery.

Provide technically sound recommendations, challenge designs where appropriate, identify risks early (security, data handling, reliability, scalability), and propose practical solutions rather than waiting for direction. Run and quality Maintain local and non-production environments, logs, and basic health checks. Add unit and integration tests for new work, and regression tests for fixes.

Follow secure SDLC practice: no secrets in code, least privilege, and Info. Sec-approved patterns only. Document how each application is run, supported, and recovered. Required experience and skills 8-10 years of relevant software development experience, with strong hands-on full stack development experience and demonstrated ownership of production applications end to end.

Strong hands-on expertise in a modern frontend stack, preferably React and TypeScript (Next.js is a plus), with the ability to design maintainable and user-friendly enterprise applications. Strong backend development skills in Python (FastAPI or similar) or Node.js, including REST APIs, service design, error handling, performance, and integration patterns.

Strong working knowledge of SQL, APIs, JSON, authentication/authorization flows, Git, application architecture, debugging, and integration troubleshooting. Good understanding and practical knowledge of AI and Generative AI, including LLM APIs, prompt orchestration, RAG, embeddings/vector search, document Q&A, copilots, and responsible enterprise AI patterns.

Model research or training expertise is not required. Strong analytical, problem-solving, stakeholder-management, and written/verbal communication skills, with the ability to work independently, prioritize effectively, and drive tasks to closure. Preferred FastAPI, React, and TypeScript used together on the same product.

Experience with cloud platforms (preferably AWS), Docker, CI/CD pipelines, monitoring, and enterprise deployment practices. Finance, reporting, or SAP-adjacent application support. Hands-on experience with RAG, vector databases/search, enterprise LLM gateways, agentic workflows, AI evaluation, or AI observability.