Location: San Francisco, CA

Work Model: Onsite

Industry: Applied AI / AI research data

Compensation: $180K-$220K base, $280K-$500K OTE

About the Company

Our partner is a fast-growing applied AI company that builds high-quality reinforcement-learning environments, agents, and data sold to the world's leading frontier AI labs. They recently grew from under twenty people to more than fifty in a matter of months and have reached a nine-figure revenue run rate. Their work directly powers foundation-model development across the industry.

The Opportunity

As one of the first engineering hires, you will build and scale the data infrastructure behind the company's products: complex data workflows and high-throughput pipelines that hold up under heavy load. You will work across Next.js on the web and Python for desktop applications.

This is a high-ownership IC role for an engineer who ships fast, owns projects end to end, and wants their work to directly power the most important model development happening today.

Responsibilities

• Build and scale complex data workflows that support the company's core products.
• Architect and optimize high-throughput data pipelines that perform under heavy load.
• Ship web features in Next.js and desktop applications in Python.
• Own projects end to end, from design through production.
• Help set engineering best practices as one of the earliest members of the team.

Requirements

• Experience building and scaling complex data workflows and high-throughput data pipelines.
• Experience with heavy-load, production systems.
• Strong Python, plus experience with Next.js or a comparable modern web framework.
• A track record of owning projects end to end and shipping quickly in a fast-paced environment.
• Background at a top-tier tech company, financial institution, or high-growth startup; data infrastructure for AI/ML systems is a plus.
• A track record of meaningful tenure and impact at previous companies.
• Able to work onsite in San Francisco.