Quickly understand the existing codebase, requirements, and direction.
Build backend services, AI agents, tools, and APIs for governed data access.
Implement MCP-compatible endpoints or similar agent interfaces.
Integrate SQL, documents, APIs, metadata, semantic models, and vector search.
Build retrieval, tool selection, context construction, and grounded response flows.
Add access controls, policy enforcement, audit logging, tests, and observability.

🎯 Requirements

Backend systems, data platforms, or distributed systems experience.
Experience building agentic AI apps with LangChain/LangGraph or similar.
Experience with RAG, retrieval, semantic search, tool calls, and multi-step workflows.
Strong Python and API development skills.
Experience with SQL, documents, metadata systems, and vector search.
Familiarity with MCP or similar agent interfaces.

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