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About the job
About the company
Our client is a frontier data company working with the world's leading AI labs on the hardest, most advanced problems in agentic workflows. It has reached nine-figure revenue on a steep growth curve, with a talent-dense team whose founders come from top quantitative trading and investment firms.
The role
Raydar is recruiting for this role on behalf of our client. You will own projects end to end that push the frontier of AI evaluation. One week you might prototype a new RL environment from a research paper, the next you might deploy distributed experiments on Kubernetes or build a Kafka pipeline.
What you'll do
- Design and build scalable systems: RL environments, APIs and human-in-the-loop platforms
- Build core infrastructure powering data and evaluation for leading AI labs
- Collaborate across research, product and design to ship quickly
- Work directly with AI lab researchers as a client-facing engineer
- Solve real scalability and reliability problems, and take part in code and design reviews
What we're looking for
- 2 to 5 years as a full-stack software engineer
- Full-stack capability across Next.js/React, Node.js/Python and Kubernetes
- Experience at a high-growth venture-backed startup, a top trading firm, or as a founding engineer at a funded company
- A track record of building something end to end with strong ownership
- Degree from a top university
- Willing to work on-site 5 days a week in San Francisco
Tech stack: TypeScript/JavaScript, Next.js, React, Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS, GCP
Bonus points
- Experience at a human data or AI data company
- Kafka, Redis and Elasticsearch experience
Compensation and benefits
- $260K-$290K base, with total target compensation of $460K-$690K
- Competitive equity
- Open to visa transfers
Location and work model
- San Francisco, CA (Financial District)
- On-site Monday to Friday with flexible hours, plus a half day or remote on Sunday
- Full-time
About the company
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