Staff Applied AI Engineer
Core
Build, evolve, and operate the Capabilities Engine, a core platform enabling reliable, observable, and production-ready agentic behavior for Rocket Money's AI-powered customer experiences.
Role type
Staff Applied AI Engineer (Agentic Systems & Platform)
Builds
The Capabilities Engine (platform for agentic behavior), reusable capability primitives, and integrated contact-method agents (phone, email, chat, web).
Domain
Financial technology (FinTech) + Applied AI / Agentic Systems
Deliverable
production ML models | product features | infrastructure
Required skills
LLM applications, agentic systems, tool calling, workflow orchestration, system design, debugging complex distributed systems, technical planning, mentorship, cross-functional collaboration
Preferred skills
TypeScript, Node, GraphQL, Postgres, evaluation systems for probabilistic behavior, incident response, building trust/safety in customer-facing AI
Technologies
TypeScript, Node, GraphQL, Postgres, LLM frameworks, workflow orchestration tools
Responsibilities
Design abstractions for capability discovery and invocation; identify repeated patterns to create reusable capabilities; develop evaluation loops and observability systems; debug failures across model behavior and tool execution; translate product needs into shippable technical plans; mentor engineers and shape technical direction; document system contracts and operational expectations.
Seniority
Staff, hands-on IC with mentorship and architectural leadership