Required Experience

- 8 to 12 years' experience in building production software, currently hands-on. Degree in Computer Science, Engineering or adjacent.
- Backend depth in Python with FastAPI or equivalent, including async, queues and background workers, plus working TypeScript.
- Modern frontend in React and TypeScript : streaming interfaces, state management, component systems.
- API and integration design : REST, SSE or WebSockets, versioning, and contracts that stay secure across clients.
- Shipped LLM-backed or agentic applications to real users in production. Not prototypes, not demos.
- Hands-on agent engineering : retrieval, context assembly, tool and function calling, structured output, orchestration.
- Evaluation of product behaviour : golden sets, regression suites, tracing, human review loops.
- Multi-tenancy, authentication and authorisation, RBAC, SSO with Entra ID.
- Performance and cost at the application layer :



caching, batching, token budgets, latency budgets.
- Led five or more engineers with both design authority and delivery accountability.

Positive to have Skills :

- Azure application stack : Container Apps or App Service, AKS, API Management, Front Door, Entra External ID.
- Orchestration frameworks : LangGraph, Semantic Kernel, AutoGen, CrewAI, and MCP servers or clients.
- Azure AI Search, vector databases, hybrid retrieval and reranking.
- Data-heavy interfaces : dashboards, charting, large tables, ownership of a design system.
- Document, voice or multimodal input pipelines.
- Zero-to-one experience, or a product taken to first client deployment.
- Demonstrated inference cost optimisation at the application

📌 Lead AI Engineer/Architect (India)
🏢 NobleEdge Talent Advisory
📍 India