Gen AI Azure Lead

Python Gen AI Engineer who can design build and deploy MCP (Model Context Protocol) servers that power scalable Generative AI and Agentic AI systems. The role requires strong backend engineering skills combined with hands-on experience in LLMs prompt engineering and AI agent frameworks.

Key Responsibilities

Design and deploy MCP servers in Python using FastMCP.

Implement tool-calling memory and structured context handling for LLM-driven systems.

Build and optimize RAG pipelines using embeddings and vector databases.

Develop and orchestrate agentic workflows using frameworks such as LangChain LlamaIndex Semantic Kernel AutoGen or similar.

Apply advanced prompt engineering techniques (ReAct CoT function-calling structured outputs).

Integrate Azure OpenAI/Gemini and other LLM APIs into production systems.

Implement caching logging monitoring and performance optimization.

Containerize and deploy services using Docker and cloud platforms (Azure/GCP).

Build secure APIs using modern web standards (REST WebSockets OAuth2/JWT).

Required Skills

Strong Python backend development experience.

Strong expertise in asynchronous programming (asyncio) concurrent request handling and streaming responses

Hands-on experience with Generative AI LLMs and Agentic AI systems.

Experience building MCP servers or similar AI-serving architectures.

Experience with RAG embeddings and vector databases.

Solid understanding of prompt engineering best practices.

Knowledge of web protocols (HTTP REST WebSockets) and API security.

Experience with MLOps and CI/CD best practices using Azure DevOps