AI Engineer

📋 Description Build agentic systems: multi-step agents, tool use and workflows that handle real investment work Own the AI stack: RAG and document pipelines, model routing across frontier and open models, prompt Make it trustworthy: build evals and observability for accuracy, cost, latency and reliability Build reusable infrastructure: connectors, data pipelines and components Embed with clients: learn their data, workflows and decisions Partner with GTM: join discovery and scoping calls, turn messy client problems into a technical 🎯 Requirements 3+ years shipping production software, ideally in Python and/or TypeScript Deep hands-on experience building with LLMs in production: agents, RAG, tool use, evals and context Strong grasp of the AI landscape and trade-offs between accuracy, cost and speed Solid ML fundamentals: evaluation, problem decomposition, knowing when not to use an LLM A builder's track record: founding engineer, early startup hire, ex-founder or ex-CTO, or top Comfortable in front of clients, can explain technical trade-offs