(Summary generated by AI based on the full job description)
The project focuses on building real AI products alongside clients. Key technologies are LLM, Python, RAG, tool calling and agent frameworks (e.g. LangChain, LangGraph, Semantic Kernel), with daily use of tools like Claude Code, GitHub Copilot and Cursor. Responsibilities include finding business problems, rapid prototyping, scoping, estimating and budgeting, building and shipping LLM products (assistants, agentic workflows, integrations), defining success metrics and contributing to AI unit strategy.

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