axi.om
This role involves owning the infrastructure and tooling that transforms frontier AI models into autonomous agents capable of long-horizon scientific analysis. The engineer will build data pipelines, sandboxed execution environments, and comprehensive evaluation systems to support drug discovery workflows. Key responsibilities include designing observability tools, managing agent memory and context, and collaborating with domain experts to define measurable success criteria for AI agents.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for axi.om.
axi.om didn’t post a salary, so this is our estimate from similar listings.
23% below the average for this role