Job description

ABOUT THE ROLE Build autonomous AI agents designed to handle complex work over extended periods with minimal human intervention. You will own core agent systems, memory, and evaluation, helping improve reliability and establish when agents can outperform people on specific tasks. WHAT YOU'LL DO - Build agents that can pursue a goal over multiple weeks without human intervention. - Design memory systems that help agents retain knowledge and improve over time. - Develop evaluations to determine whether agents perform tasks better than the people who previously handled them. - Improve agent reliability while reducing the need for human review and oversight. WHAT WE'RE LOOKING FOR - Hands-on experience building production agents that people rely on, and a clear understanding of their current limitations. - At least 1 to 2 years of experience at a fast-growing or AI-focused startup. - Experience building evaluation systems that inform real-world decisions. - Evidence of impact through published research others build on or software shipped at meaningful scale. - Strong opinions on agent architecture are a plus. - Background in competitive math, programming, debate, games, startup founding, or participation in a leading accelerator is valued. - Collaborative, kind, and effective communication, including in challenging situations. COMPENSATION & BENEFITS Base salary is $200,000 to $300,000 annually, with up to $350,000 for exceptional candidates. Meaningful founding equity is offered. Visa sponsorship is available. LOCATION On-site, five days a week in San Francisco, California, United States.

Requirements

Must-haves

Build agents that can pursue a goal over multiple weeks without human intervention.
Design memory systems that help agents retain knowledge and improve over time.
Develop evaluations to determine whether agents perform tasks better than the people who previously handled them.
Improve agent reliability while reducing the need for human review and oversight.
Hands-on experience building production agents that people rely on, and a clear understanding of their current limitations.
At least 1 to 2 years of experience at a fast-growing or AI-focused startup.
Experience building evaluation systems that inform real-world decisions.
Evidence of impact through published research others build on or software shipped at meaningful scale.
Background in competitive math, programming, debate, games, startup founding, or participation in a leading accelerator is valued.
Collaborative, kind, and effective communication, including in challenging situations.
On-site, five days a week in San Francisco, California, United States.

Nice-to-haves

Strong opinions on agent architecture are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: ashby
Effort: quick