Client Roles
ABOUT THE ROLE
Join an early-stage AI company building infrastructure that helps enterprise agents improve through production feedback. This backend-leaning full-stack role will shape the systems and product features that make agent workflows more reliable.
WHAT YOU'LL DO
- Build backend systems for agent evaluation and continuous improvement.
- Develop data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria.
- Own enterprise integrations, including authentication, OAuth, webhooks, data syncs, backfills, rate limits, retries, monitoring, and production support.
- Take features from technical design through implementation, deployment, monitoring, customer feedback, and iteration.
- Work with customers to diagnose system issues and turn their 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 substantial software engineering experience.
- Experience at both a large company and an early-stage startup, with meaningful individual-contributor ownership.
- Experience building production systems for enterprise customers, including data models, pipelines or queues, and integrations.
- Comfort shipping user-facing features with TypeScript and React; Python experience is preferred.
- Knowledge of relational databases, vector databases, and cloud environments.
- A bachelor's degree in computer science or a related field.
- Experience with agents, LLMs, evaluation, or QA is be