A hands-on engineering role building GenAI features that ship to real users: RAG pipelines, structured document extraction, LLM-backed REST APIs, and agentic workflows with human-in-the-loop review. Core stack is Python (FastAPI/Flask/Django), LLM APIs, and vector stores, plus Git, Docker, tests, and production monitoring.
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