Member of Technical Staff, Full Stack

Role details

ABOUT THE ROLE Join a small, highly technical team building infrastructure that helps enterprise AI agents improve through production feedback. This backend-leaning full-stack role offers ownership of core systems and product features that make agent evaluation and continuous improvement useful to customers. WHAT YOU'LL DO - Build backend systems for agent evaluation and continuous improvement. - Improve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria. - Own enterprise integrations across authentication, OAuth, webhooks, incremental syncs, backfills, rate limits, retries, monitoring, and production support. - Take features from technical design and implementation through deployment, monitoring, customer feedback, and iteration. - Work with customers to understand their systems, diagnose failures, and turn specific needs into reusable product capabilities. WHAT WE'RE LOOKING FOR - Three to six years of experience as a backend-leaning full-stack software engineer, with most experience focused on backend development. - Production experience building systems for enterprise customers, including ownership of data models, pipelines or queues, or enterprise integrations. - Comfort shipping user interfaces with TypeScript and React; Python experience is preferred. - Experience with relational and vector databases and cloud environments. - A bachelor's degree in computer science or a related field. - Experience at both a large company and an early-stage startup with fewer than 50 people, including meaningful ownership at the startup. - Background in AI agents, LLMs, or evaluation and QA is helpful; founder experience or hackathon participation is also valued. - Must have US work authorization, such as citizenship, permanent residency, or OPT with multiple years remaining. Immediate visa transfer or sponsorship is not available. COMPENSATION & BENEFITS Annual salary: $180,000 to $200,000. LOCATION On-site in San Francisco, California.