(Summary generated by AI based on the full job description)
The project focuses on building production AI systems beyond Jupyter. Work spans generative and classical AI and operating solutions on cloud platforms. Required skills include Python, vector databases, embeddings and retrieval systems. Experience with frameworks like LangChain, LangGraph, Semantic Kernel and at least one cloud (Azure/AWS/GCP) is expected. Responsibilities cover end-to-end knowledge-grounded systems, data ingestion and embedding pipelines, agentic applications and tool integrations, model serving and cost optimization, production-grade tested code, monitoring and drift detection, and collaboration with architects and data engineers. Offered: benefits package including private healthcare, profit sharing and investment in professional growth.

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