As AI Backend Engineer, you work in a hybrid setup, with 1–2 days per week in our Heidelberg office in close collaboration with Product, Forward Deployed/AI Engineers, and Data Scientists. As an AI Backend Engineer, you will build the technical backbone of our Decision Intelligence platform. You develop scalable backend services that bring our forecasting and optimization models, agentic workflows, and our semantic data layer into productive use. * You design, build, and operate scalable backend services in Python with FastAPI and pydantic that productively support agent workflows, forecasting and replenishment. * You integrate LLM and agent systems deeply into the backend: tool use, function calling, RAG pipelines, eval frameworks for LLM outputs, guardrails, and production deployment. * 2 to 5 years of professional experience as a Backend, Software, or AI Engineer in a ...
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