About the Role
Join a small, technical AI team building infrastructure that helps enterprise agents improve through evaluation and production feedback. This backend-leaning full-stack role offers ownership of core systems and the product features that make them useful.
What You'll Do
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Build backend systems for agent evaluation and continuous improvement.
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Develop data models for evaluation datasets, experiments, agent traces, knowledge versions, findings, and customer-defined quality criteria.
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Own enterprise integrations, including authentication, OAuth, webhooks, syncs, backfills, retries, monitoring, and production support.
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Take features from technical design through implementation, deployment, monitoring, customer feedback, and iteration.
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Work with customers to diagnose issues and turn their needs into reusable product capabilities.
What We're Looking For
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Three to six years of substantial backend-leaning full-stack engineering experience, with a strong individual-contributor focus.
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Experience working at both a large company and an early-stage startup, with meaningful ownership in a startup environment.
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Production experience building enterprise systems, especially data models, pipelines or queues, and integrations.
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Comfort shipping user-facing features with TypeScript and React; Python experience is preferred.
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Familiarity with relational and vector databases and cloud environments.
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A bachelor's degree in computer science or a related field, plus experience working in the United States.
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Experience with agent evaluation, LLMs, or evaluation and quality assurance is helpful.
Compensation & Benefits
Base salary is $180,000 to $200,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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