Job
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EmploymentFull-time
Work modeRemote / location-flexible
Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE Join a small, senior team building autonomous AI agents for executive productivity. You will develop new agent capabilities and create reliable ways to evaluate them, helping ensure that important real-world tasks are completed accurately before new capabilities reach users. WHAT YOU'LL DO
- Build agents that complete delegated work end to end without requiring the user to check each step.
- Develop trustworthy evaluations that measure how accurately agents perform different tasks.
- Ship new agent capabilities in the tools people already use, supported by evidence that they are ready.
- Investigate production failures and deliver durable, validated fixes.
- Build large-scale failure detection to identify known patterns and unexpected issues.
- Improve agent recovery when a tool or website fails.
- Create repeatable workflows so engineers can measure whether agent changes improve performance. WHAT WE'RE LOOKING FOR
- Approximately 2 to 11 years of relevant experience, including a few years in one role with demonstrated progression.
- Experience building or evaluating production AI or machine learning systems, especially agents or LLM-powered products.
- Strong Python skills and familiarity with Django, React, and TypeScript.
- Experience with evaluation and monitoring tools such as Braintrust or Raindrop is relevant.
- Comfort working across implementation, evaluation, and iteration in a fast-moving environment. COMPENSATION & BENEFITS Salary range: $200,000 to $300,000 USD annually. Visa sponsorship is not available. LOCATION Hybrid, with four days per week in the office in Palo Alto, California, United States.
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