(Summary generated by AI based on the full job description)
Project focuses on building real AI products with clients, from initial business conversation to prototype and production, emphasizing fast iterations and measurable impact. Key technologies are LLM, Python, LLM APIs, RAG, agent frameworks (LangChain, LangGraph, Semantic Kernel) and developer tools like Claude Code, GitHub Copilot, Cursor. Responsibilities include embedding with client teams, rapid prototyping, building and shipping LLM-powered products, scoping and budgeting projects, defining success metrics, and contributing to AI unit strategy.

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