AI Back-end Engineer

• Python — production-level backend development, orchestration, and business logic
• Multi-agent AI — hands-on experience with Pydantic AI, LangChain, CrewAI, or similar frameworks
• RAG — retrieval pipelines, embeddings, vector search, chunking, and ideally code-aware retrieval
• Azure — Azure SQL, Cosmos DB, and Azure-hosted compute
• APIs — integrating AI backends with .NET/React applications
• AI observability — Pydantic Logfire or similar tools for tracing and monitoring agent behavior
• AI-assisted development — experience with Cursor or similar tools
• Static analysis / codebase parsing — a strong plus for AI systems that reason over large codebases