
About the Role Join an early-stage AI/ML developer tooling team as its first full-time engineer outside the founding group. You will build systems that detect failures in AI agent conversations and generate verified fixes, helping customers ship more reliable software. What You'll Do Build end-to-end product capabilities, from data ingestion and failure detection to patch generation and verification. Design reproduction logic, guardrails, and checks that help prevent unsafe or incorrect changes from reaching customer repositories. Turn customer problems into shipped solutions, working directly with customers to understand traces, production failures, and requirements. Make architectural decisions across schemas, service boundaries, and system tradeoffs. Establish engineering practices for testing, observability, on-call, and releases. Work across data pipelines, detection systems, and user-facing review experiences as product needs evolve. What We're Looking For At least 3 years of experience shipping production software, with a track record of contributing beyond your core specialty. Strong full-stack TypeScript skills, including experience building user-facing products and core services. Experience building and operating AI agents in production, with an understanding of agent failure modes and debugging. Experience designing and optimizing high-volume data pipelines with attention to cost, observability, monitoring, and production debugging. Ability to independently take loosely defined customer problems through architectural decisions and delivery. Comfort working directly with customers and in an early-stage team with broad ownership. Compensation & Benefits The annual salary range is $150,000 to $200,000. Visa sponsorship is not available. Location On-site in San Francisco, California. The role requires working from the office six days per week.
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