Senior AI Engineer

About the Role: This is a rare shot at building an AI infrastructure layer from the ground up — not a chatbot wrapper, but a full agent orchestration platform every internal AI agent runs on. You'll join a small, elite team defining how autonomous agents get built, evaluated, and trusted in production, inventing the abstractions the company's AI strategy will run on for years.

What You'll Do: Architect the orchestration core powering autonomous, multi-step AI agents — triggers, durable workflows, and runs that can pause and resume around human judgment Build the tool layer that gives agents real-world capability: live integrations with Slack, Linear, Git Hub, Notion, and MCP, plus a dynamic tool registry Build the console agent managers use to create, evaluate, and iterate on agents in real time (React)Solve the hard, mostly-unsolved problem of making nondeterministic AI behavior legible — run tracing, evals, feedback loops, cost attribution Design and ship APIs in Type Script/NestJS on Postgres, deployed on AWSWhat We're Looking For Strong Type Script, Node.js, and relational database fundamentals Real experience building systems that other engineers build on — internal platforms, frameworks, orchestration, or developer tooling Genuine hands-on AI/agent experience: tool calling, context and memory design, evaluating nondeterministic behavior Experience deploying and operating production services on AWSAI-assisted development (Claude Code, Cursor, or similar) as a core part of how you already work 5+ years of professional software engineering experience

Bonus Points: You've built on or operated durable-execution/workflow engines (Temporal or similar)You've shipped agent systems, worked with frameworks like Lang Graph or the Claude Agent SDK, written MCP servers, or built eval harnesses High-growth startup experience You like mentoring and shaping engineering cultureU.S. citizen or green card holder (this company cannot sponsor visas).