Practical experience with LLMs and agent systems: prompt engineering, tool use/function calling, RAG, eval frameworks, and production deployment. You think not only in terms of endpoints and databases, but in customer value, product impact, and adoption & and always eager to strengthen the system and not only solve the task at hand. * You design clean APIs between the platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) and ensure robustness and observability. * 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. * 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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