О вакансии
About the Company
Our client is a Series A frontier data provider for the world's leading AI labs, founded in 2024. It builds the infrastructure behind frontier data creation for agentic and hard reasoning workflows, has raised $34M, has grown to roughly 85 people and is growing at a hockey-stick pace. The founding team comes from top investment banks and quant firms, and the company is extremely talent-dense.
About the Role
Take end-to-end ownership of projects that push the frontier of AI evaluation. One week you might prototype a reinforcement learning environment from a research paper, the next deploy distributed experiments on Kubernetes, then improve a Next.js dashboard or build a Kafka pipeline for annotator analytics.
What You Will Do
Design and build scalable systems: RL environments, APIs and human-in-the-loop platforms.
Collaborate with research, product and design to ship features quickly.
Write clean, maintainable code and contribute to documentation, code reviews and design discussions.
Solve real scalability and reliability challenges in the core infrastructure that powers data and evaluation for leading AI labs.
Work directly with AI lab researchers.
Requirements
What We Are Looking For
Two to five years as a full-stack engineer, with Next.js and React, Node.js or Python, and Kubernetes.
Experience building something end to end with a bias toward ownership.
Time at a high-growth, top-tier venture-backed startup, a reputable trading firm, or as a founding engineer.
A degree from a top-30 school in the US, Canada or Europe.
Comfort being client-facing with AI lab researchers.
Bonus Points
Kafka, Redis and Elasticsearch.
Experience at a human data or data labeling AI company.
Benefits
Compensation and Benefits
$260,000-$290,000 base salary, plus uncapped commission of 2% of gross profit on projects you personally deliver and a 3% delivery-team pool paid quarterly, plus competitive equity. Target total cash compensation is $460,000-$690,000. Visa transfers are considered. Take-homes are paid.
Location and Work Model
Full-time and on-site five days a week in the Financial District of San Francisco, with flexible hours.