Staff Machine Learning Engineer

Job Description

What we have built

The Custom Agent Service handles the full agent lifecycle: an admin configures an agent with instructions, knowledge articles, and actions through a UI; a customer ticket triggers execution; the agent plans, acts through real APIs via the Integration Action Platform, and resolves the issue. The backend is Python, the infrastructure is Kubernetes on AWS, and the agent architectures range from single-pass ReAct loops to our iterative multi-plan executor.

We are onboarding our first internal and external EAP customers, so the work ships to real accounts with real tickets.

What we need help with

Agent execution core. The planning loop, tool dispatch, memory integration, and error recovery that make up the main execution...