About the Role
Build autonomous agents designed to handle complex computer-based work reliably over extended periods. You will own core agent systems, from execution and memory to the evaluations that measure performance against human baselines.
What You’ll Do

• Build agents that can pursue a goal over multiple weeks with minimal human intervention.

• Design memory systems that help agents retain knowledge and improve over time.

• Develop evaluation frameworks to determine whether agents outperform people on specific tasks.

• Improve reliability and reduce the need for human review of agent runs.

What We’re Looking For

• Hands-on experience building production agents that people rely on, including a clear understanding of their failure modes.

• At least 1 to 2 years of experience at a fast-growing or AI-focused startup.

• Experience building agent memory, long-running execution, multi-step reasoning, or systems that maintain goals over time.

• A track record building evaluations that inform real decisions, including comparisons against human-level baselines.

• Evidence of substantive engineering work, with either published research others build on or software shipped at meaningful scale.

• Strong engineering fundamentals; a degree from a highly selective institution or an equivalent credential, such as founding a company, is valued.

• Agent architecture experience and backgrounds in competitive math, programming, debate, or games are beneficial.

• A collaborative, thoughtful approach to working through difficult problems.

Compensation & Benefits
Base salary is $200,000 to $300,000 annually, with up to $350,000 for exceptional candidates. Meaningful founding equity is included. Visa sponsorship is available.
Location
On-site, five days per week in San Francisco, California, United States.

About the Role
Build autonomous agents designed to handle complex computer-based work reliably over extended periods. You will own core agent systems, from execution and memory to the evaluations that measure performance against human baselines.
What You’ll Do

• Build agents that can pursue a goal over multiple weeks with minimal human intervention.

• Design memory systems that help agents retain knowledge and improve over time.

• Develop evaluation frameworks to determine whether agents outperform people on specific tasks.

• Improve reliability and reduce the need for human review of agent runs.

What We’re Looking For

• Hands-on experience building production agents that people rely on, including a clear understanding of their failure modes.

• At least 1 to 2 years of experience at a fast-growing or AI-focused startup.

• Experience building agent memory, long-running execution, multi-step reasoning, or systems that maintain goals over time.

• A track record building evaluations that inform real decisions, including comparisons against human-level baselines.

• Evidence of substantive engineering work, with either published research others build on or software shipped at meaningful scale.

• Strong engineering fundamentals; a degree from a highly selective institution or an equivalent credential, such as founding a company, is valued.

• Agent architecture experience and backgrounds in competitive math, programming, debate, or games are beneficial.

• A collaborative, thoughtful approach to working through difficult problems.

Compensation & Benefits
Base salary is $200,000 to $300,000 annually, with up to $350,000 for exceptional candidates. Meaningful founding equity is included. Visa sponsorship is available.
Location
On-site, five days per week in San Francisco, California, United States.