AI工程师 - 代理系统/大语言模型基础设施

Most teams are still using AI to generate text. This team is building systems where AI actually does the work. Think agents that: plan tasks, call tools, execute workflows, operate across real enterprise systems. What you’ll actually be building: Agentic systems that run multi-step workflows end-to-end, LLM orchestration layers (reasoning, tool use, execution), RAG pipelines grounded in real data, multi-agent systems coordinating across tasks, production-grade backend systems in Python. What makes this interesting: AI is core to the product, not a feature. You’re building systems that replace human workflows, not assist them. Small, technical team with real ownership. Backed by top-tier investors, moving fast.

Strong Python fundamentals (this is non-negotiable), experience building with LLMs in production, hands-on with tools like LangChain, LangGraph, RAG, or similar, track record building scalable systems, not just prototypes, comfortable operating in ambiguity and shipping fast.