Build the platform that supports the company's work with enterprises and frontier AI labs to improve AI performance in professional settings, initially in engineering and life sciences. The role focuses on distributed systems, data pipelines, and performance optimization, as well as tools that domain experts use to write and review tasks. Agent runs may take hours and depend on model APIs, remote environments, and background services; the position is responsible for making these workflows reliable and understandable as usage grows. The company is a seed-stage, deployment-first AI company founded in 2025. It has raised $6 million, has a team of about eight, and is building a platform to run AI agents and produce training and evaluation datasets from real professional work. This is a full-time, on-site role in the San Francisco Bay Area, with six days per week in the office.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed