Data Infrastructure Engineer (AI)

Location: San Francisco, California, United States; Work model: Onsite

Base salary: $180K–$220K per year; OTE: $280K–$500K

Company

Applied AI company building reinforcement-learning environments, agents, and data for leading frontier AI labs.

What you will do

• Build and scale complex data workflows supporting core products.
• Architect and optimize high-throughput data pipelines for heavy-load production systems.
• Ship web features with Next.js and desktop applications in Python.
• Own projects end to end, from design through production.
• Help establish engineering best practices as an early member of the team.

Requirements

• Experience building and scaling complex data workflows and high-throughput data pipelines.
• Experience with heavy-load production systems.
• Strong Python skills and experience with Next.js or a comparable modern web framework.
• Track record of owning projects end to end and shipping quickly.
• Background at a top-tier technology company, financial institution, or high-growth startup.
• Ability to work onsite in San Francisco.

Nice to have

• Experience building data infrastructure for AI/ML systems.
• Meaningful tenure and demonstrated impact at previous companies.

Culture & Benefits

• High-ownership individual contributor role.
• Opportunity to join as one of the first engineering hires.
• Work directly on infrastructure powering foundation-model development.
• Fast-paced environment focused on rapid product delivery.