Quick overview
Job description
About the Role
Join a small, technical AI/ML team building infrastructure that helps enterprise AI agents improve through production feedback. This backend-leaning full-stack role combines ownership of distributed systems with shipping the product features that make them useful.
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, syncs, backfills, rate limits, schema changes, retries, monitoring, and production support.
Take features from technical design through implementation, 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.
Experience building production systems for enterprise customers, with ownership of data models, pipelines or queues, or 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.
Experience across both a large organization and an early-stage startup is valued, as is a background in agent evaluation, LLMs, or quality assurance.
Seeking an individual contributor engineering role.
Compensation & Benefits
Base salary: $180,000 to $200,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.