Applied AI Engineer

The Role:

We are looking for Applied AI Engineers to build AI systems that use agent interaction data to understand how agents behave, evaluate them at scale, and improve them through learning and feedback.

Your research will not live on a whiteboard. You’ll work directly with real-world agent data, apply frontier methods in production, and see your work ship into the product. By making agent behavior measurable and debuggable, your systems will support teams deploying agents across finance, legal, operations, and other high-stakes workflows. You will own projects end-to-end, with significant autonomy, and work closely with the team to build self-improving agent systems.

What You'll Do:

• Build AI systems to aggregate, index, and analyze large-scale long-running agent interaction data in order to extract meaningful signals

• Design and implement post-training and optimization workflows to improve agents, both internally and for customers

• Build agent platform infrastructure, including orchestration, runtimes, and developer tools that help teams define, test, deploy, and iterate on complex agent workflows

• Build internal tools and infrastructure t