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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
- Experience working in the United States.
- Experience with agent evaluation, LLMs, or evaluation and quality assurance is helpful.
Skills
- TypeScript
- React
- Python
- Relational databases
- Vector databases
- Cloud environments
- Agent evaluation
- LLMs
- Evaluation
- Quality assurance
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 3-6 years
Education Level
- Bachelor's degree in computer science or a related field
Salary/Compensations
- $180,000 to $200,000
Benefits
- Visa sponsorship is available.