About the Role

Join an AI infrastructure team building tools that help improve the reliability of agents in production. You will work across backend systems and polished product experiences, partnering with AI teams to turn real-world agent failures into useful product capabilities.

What You'll Do

Build product experiences for agent investigation, evaluation workflows, trajectory debugging, verification, and replay.

Own problems end to end, from understanding customer needs and defining solutions to implementation and iteration.

Develop APIs, data models, internal systems, and user-facing product surfaces, with an emphasis on backend engineering.

Build systems that support large-scale investigations across production traces.

Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer workflows.

Work directly with teams building production AI agents and translate their challenges into product decisions.

What We're Looking For

Five to eight years of experience in full-stack product engineering, with a backend-leaning profile.

Experience shipping user-facing products end to end, including frontend work with React or Next.js and backend development.

Strong TypeScript skills and experience with Python or Node.js, plus the ability to design clean APIs, model data, and debug production issues across the stack.

Experience building polished product interfaces and reliable platform systems.

Background in AI agents, LLM-powered products, developer tools, observability, or related infrastructure is valuable.

Strong product judgment and experience working directly with customers to understand problems and deliver solutions.

Strong computer science fundamentals and a track record of shipping clean, consistent software.

Compensation & Benefits

Base salary: $230,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.