About the Role
Join a team building infrastructure that helps organizations improve the reliability of AI agents in production. In this backend-leaning full-stack role, you will work closely with customers and turn real-world agent challenges into polished product capabilities.
What You'll Do
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Build product experiences for agent investigations, evaluation workflows, trajectory debugging, verification, and replay.
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Own problems end to end by understanding customer needs, defining solutions, shipping features, and iterating based on results.
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Develop APIs, data models, internal systems, and user-facing product surfaces across the stack.
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Build agent capabilities for conducting large-scale investigations across production traces.
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Design platform systems such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer tools.
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Work directly with AI teams to understand agent failures and translate those insights into product decisions.
What We're Looking For
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Typically 5 to 8 years of full-stack product engineering experience, with a backend emphasis.
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Experience shipping end-to-end products with React or Next.js on the frontend and TypeScript, Python, or Node.js on the backend.
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Ability to build polished interfaces, design clean APIs, model data effectively, and debug production issues across the stack.
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Hands-on experience with AI agents, LLM-powered products, or agentic systems, including relevant APIs, architectures, evaluation, or debugging tools.
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Experience influencing product decisions through engineering and working directly with customers to shape shipped solutions.
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Strong computer science fundamentals and a track record of writing clean, consistent code.
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Experience with developer tooling or platform features such as SDKs, CLIs, permissions, billing, or account management is useful.
Compensation & Benefits
Base salary: $230,000 to $300,000 annually. Visa sponsorship is available. Equity details were not provided.
Location
On-site in San Francisco, California, United States.
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