Lead AI Engineer - 11510

Build and extend the eval pipeline : how we measure task completion, catch regressions, and turn production failures into fixed behaviors.

Work on context management : what the agent sees, when, and how we keep long-horizon tasks coherent without burning tokens.

Design sub-agent patterns : when to fan out, how to compose specialized agents cleanly, and how to keep the parent agent in control of the outcome.

Own document parsing: turning supplier-uploaded invoices, catalogs, and contracts into structured context the agent can reason over.

Wrap Coupa supplier APIs as agent-callable CLI tools, with clean error surfaces and sensible defaults for an agent caller.

Ship supplier-facing skills on top of the harness : the procedural instructions and tool compositions that let the agent handle specific tasks end-to-end.

Debug messy production behavior: why did the agent take that path, where did it get confused, and what tool, context, or harness change fixes it?

Partner with the senior engineer on harness architecture calls as you find gaps while working across the stack.