(Summary generated by AI based on the full job description)
The project focuses on taking AI solutions from idea to production over a 6-month engagement. Key stack includes Python with optional Go, agent frameworks LangGraph, LangChain, Supervisor, and observability tools Langfuse and OpenTelemetry. Responsibilities cover building and operating production-grade AI agents, designing RAG/MCP integrations and guardrails, creating an AI SDLC harness, implementing CI/CD and GitOps (GitHub Actions, ArgoCD), building automated evaluation frameworks (LLM-as-a-judge) and developing internal DevEx and infrastructure on AWS/Kubernetes.

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