You design, build, and operate scalable backend services in Python with FastAPI and pydantic that productively support agent workflows, forecasting and replenishment. * You design clean APIs between the platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) and ensure robustness and observability. * Solid backend foundation: Python with FastAPI and Pydantic, clean API design, asynchronous programming, PostgreSQL and Redis, containerization with Docker, and experience with CI/CD pipelines. * Practical experience with LLMs and agent systems: prompt engineering, tool use/function calling, RAG, eval frameworks, and production deployment. * High level of ownership, appetite for ambiguity, and motivation to continuously develop yourself in backend engineering, agentic engineering, and your product perspective.
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