AI infrastructure · backend systems
ABOUT THE ROLE
Join a small, highly technical team building AI infrastructure that helps enterprise agents improve through production feedback. This backend-leaning full-stack role offers ownership of core systems and the product features that make them useful to customers.
WHAT YOU'LL DO
- Build backend systems for agent evaluation and continuous improvement.
- Design and evolve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria.
- Own enterprise integrations from authentication and data synchronization through retries, monitoring, and production support.
- Take features from technical design and implementation through deployment, monitoring, customer feedback, and iteration.
- Work with customers to diagnose issues and turn their needs into reusable product capabilities.
WHAT WE'RE LOOKING FOR
- Three to six years of software engineering experience, with substantial backend-leaning full-stack experience and a strong individual-contributor focus.
- Experience building production systems for enterprise customers, including data models, pipelines or queues, and integrations.
- Comfort shipping user-facing features with TypeScript and React, alongside backend work in Python and relational or vector databases.
- Experience at both a larger organization and an early-stage startup, with meaningful ownership in a small team.
- A bachelor's degree in computer science or a related field.
- AI, agent evaluation, or LLM experience is helpful, as is a founder background or p