Member of Technical Staff, Full Stack

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.

• Build backend systems for agent evaluation and continuous improvement.

• Develop data models for evaluation datasets, experiments, agent traces, knowledge versions, findings, and customer-defined quality criteria.

• Own enterprise integrations, including authentication, OAuth, webhooks, syncs, backfills, retries, monitoring, and production support.

• Take features from technical design through implementation, deployment, monitoring, customer feedback, and iteration.

• Work with customers to diagnose issues and turn their needs into reusable product capabilities.

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

• Three to six years of substantial backend-leaning full-stack engineering experience, with a strong individual-contributor focus.

• Experience working at both a large company and an early-stage startup, with meaningful ownership in a startup environment.

• Production experience building enterprise systems, especially data models, pipelines or queues, and integrations.

• Comfort shipping user-facing features with TypeScript and React; Python experience is preferred.

• Familiarity with relational and vector databases and cloud environments.

• A bachelor's degree in computer science or a related field, plus experience working in the United States.

• Experience with agent evaluation, LLMs, or evaluation and quality assurance is helpful.

Base salary is $180,000 to $200,000 annually. Visa sponsorship is available.