About the Role
Join an AI product engineering team building tools that help organizations improve the reliability of AI agents in production. You will take ownership of product problems from customer discovery through implementation and iteration, with a backend-leaning full-stack focus.
What You'll Do
Build product experiences for agent investigations, evaluations, trajectory debugging, verification, and replay.
Work with customers to understand agent failures and translate those needs into product decisions and shipped improvements.
Deliver across the stack, including APIs, data models, internal systems, and polished product interfaces.
Develop systems for running large-scale investigations across production traces.
Build platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-focused developer workflows.
Collaborate with teams building production AI agents and use their feedback to improve the product.
What We're Looking For
Five to eight years of full-stack product engineering experience, with a backend-leaning focus and end-to-end ownership of production features.
Strong hands-on experience building user-facing interfaces with React or Next.js and backend systems with TypeScript, Python, or Node.js.
Experience designing APIs and data models, building polished product surfaces, and debugging production issues across the stack.
Practical experience with AI agents, LLM-powered products, or agentic systems, including familiarity with LLM APIs, evaluation or debugging tools, or developer tooling.
Strong computer science fundamentals and the ability to influence product decisions through hands-on engineering.
Compensation & Benefits
Base salary: $230,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.