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Popular full-stack title, 3-6 year target range, and Mumbai metro increase applicant competition.
Full-stack skills are transferable, but required AI-agent and LLM experience increases domain specificity.
Explicit 4+ years plus mandatory Python+React and AI agent production experience narrows candidate pool.
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Own feature development and maintenance across backend (Python/FastAPI), database (Postgres/SQLite), and frontend (React/TypeScript) layers within a single feature scope.
Implement and refine AI agents and prompts including verdict agents and integration with internal and third-party systems.
Participate in code reviews, on-call triage, accuracy/regression reviews, and ensure shipped features comply with strict accuracy and reproducibility controls.
4+ years of full-stack engineering experience with strong production skills in both Python and React/TypeScript.
Proficiency in Python frameworks (FastAPI/Flask/Starlette), Pydantic v2, asyncio, SQLAlchemy, Postgres, REST API design, and pytest.
Hands-on experience building or integrating AI agents with production or substantial prototypes using tools like Google ADK, LangChain, or OpenAI Assistants.
Experience with prompt engineering on advanced LLMs (e.g., GPT-4-class) and debugging structured outputs.
Experienced in end-to-end full-stack feature development including backend APIs, database schema modeling, and frontend UI components.
Strong background integrating AI agents in production environments with familiarity in prompt engineering and LLM debugging.
Comfortable working in code review and deployment workflows (Git, trunk-based, feature branches) with cloud container deployments (Docker).