The opportunity
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
What you'll do
Design and build the core of Robinhood's agent harness: orchestration, tool integrations, context and memory management — so one platform can safely power both high-trust internal agents and tightly scoped customer-facing ones.
Ship agentic applications end to end on that harness, from an ambiguous: problem to a production agent that takes real action on behalf of employees or customers, and feed what you learn back into the platform.
Build trajectory-level evaluation systems that score how an agent got to an: answer, not just the answer — tool-call correctness, planning and recovery, multi-step task completion — backed by simulation environments and synthetic task generation.
Architect action guardrails as platform primitives: least-privilege tool scoping, permission models, human-approval gates for high-risk or irreversible actions, step and budget limits, sandboxing, and rollback.
Make evals and guardrails products other teams adopt: SDKs, CI regression gates on prompt, model, and tool changes, continuous red-teaming, and production tracing that closes the loop from real traffic back into eval sets and guardrail models.
Set the technical bar through architecture reviews, code reviews, and: mentorship, and be the person who can make — and defend with data — the "don't ship" call.