- Must-Have Requirements
- 9-11 years of engineering experience, with at least 3 years as a hands-on architect or tech lead on production AI or automation systems.
- Full-stack depth React/Next.js + Node.js/Express on the front, Python (FastAPI, Pandas, LangChain/LlamaIndex) on the back, SQL + at least one NoSQL store, and one cloud (Azure preferred, AWS acceptable).
- Practical experience shipping LLM-powered features into production including prompt engineering, RAG pipelines, function/tool calling, evaluation harnesses, and cost/latency trade-offs.
- Hands-on, daily usage of AI coding tools Claude Code, GitHub Copilot, or Cursor with shippable output.
- You should be able to show a public or internal repo where you used these tools to build something real.
- Solid fundamentals data structures, system design, API design, authentication (OAuth/SSO/SAML), async processing, and observability.
- Excellent written and spoken communication able to explain a design to a junior engineer, a CFO, and a vendor partner, all in the same afternoon.
- Disciplined engineering habits source control hygiene, PR reviews, docs that stay current, and tests that actually run in CI.

📌 Lead - Full Stack AI & MERN /Django (Bengaluru)
🏢 AVE-Promagne
📍 Bengaluru