Python and LLM application engineering define this backend role at Supra ITS. Build production agent runtimes for cloud and on-premise deployments.You will own agent loops, tool calling, retrieval, file context, and LLM traffic routing. The work uses Python, FastAPI or similar services, LangChain or LangGraph, SQL, Postgres, and Test Driven Development. You will ship through stories, architecture decision records, acceptance criteria, review, and QA. Production behavior matters more than notebook research or prompt-only consulting.Key Responsibilities:
Design agent loops, prompts, state, persistence, and streaming SSEHarden MCP and native tools with transparent failure modesImprove chunking, embeddings, hybrid search, and grounded citationsIntegrate LiteLLM routing, timeouts, streaming,



and attributionKeep attachments, artifacts, and knowledge stores correctly separatedRequirements:
Strong Python experience in production servicesHands-on function calling, RAG, prompting, and evaluation loopsLangChain or LangGraph experience debugging multi-turn tracesSolid SQL and Postgres knowledge, including migrations and RLSThree to five-plus years engineering, including LLM feature deliveryOwn reliable Python agent infrastructure through TDD, retrieval, tool safety, and production-ready LLM routing at Supra ITS.
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📌 Senior Python Llm Backend Engineer (Winnipeg)
🏢 Supra ITS
📍 Winnipeg