Key Responsibilities
- Design and develop agentic AI systems using state graphs, conditional edges, and multi-agent compositions with LangGraph
- Implement Model Context Protocol wrappers and tool calls for seamless AI-agent interactions
- Build and deploy scalable agent systems with Azure AI Foundry and Claude Code
- Optimize vector databases (pgvector, Azure AI Search) for efficient retrieval and context management
- Develop FastAPI-based backend services and APIs for agent system integration
- Ensure robust data validation and structured outputs using Pydantic across agent workflows
Requirements
- Expertise in Python and Microsoft Azure with hands-on Azure AI Foundry experience
- Proven experience with Claude Code, including skill/plugin development and agentic pair programming
- Strong proficiency in LangGraph, Model Context Protocol, and modern AI frameworks (GPT, Claude, Gemini)
- Experience with PostgreSQL, pgvector, and modern data platforms (Snowflake, Databricks)
- Docker and FastAPI expertise for containerized deployment and API development