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Deliver robust APIs, reusable components, and secure pipelines that connect LLMs with enterprise systems. \n\nCombine strong software engineering with modern AI practices (RAG, agent orchestration, evaluation) to drive scalable business outcomes.\n\nKey Responsibilities : \n\nAgent & Application Engineering : \n\n- Build multi agent systems (planning, tool use, delegation) using LangGraph or Semantic Kernel.\n\n- Develop REST/gRPC APIs (FastAPI mandatory).\n\n- Integrate tools, SQL, search, and document stores via Model Context Protocol (MCP).\n\n- Connect with model gateways (OpenAI, Azure OpenAI, Bedrock, Vertex AI).\n\n- Deliver pro code solutions (Python focus).\n\nRetrieval, Data & Knowledge : \n\n- Stand up RAG services with embeddings, hybrid/vector search (pgvector, Pinecone, Weaviate, OpenSearch).\n\n- Build ingestion pipelines (Airflow, Prefect, Ray) for diverse enterprise data.\n\n- Optimize retrieval quality with chunking, re rankers, query rewriting.\n\nQuality, Testing & 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