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.