Staff Applied AI Engineer
Truebill · San Francisco, CA, Washington, D.C., New York City, NY, Remote (USA)
About this role
**ABOUT ROCKET MONEY 🔮** Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money—ultimately giving them a leg up on their financial journey. **ABOUT THE TEAM 🤝** The Agents Group is building the agentic systems that let Rocket Money move from helpful product surfaces to assistants that can safely and reliably finish work for customers. This group owns the system responsible for enabling agentic capabilities and the methods that let agents interact with customers and systems across various contact methods (phone, email, web bots, etc.) and autonomous workflows. This work sits at the intersection of LLM-powered reasoning, deterministic execution systems, tool orchestration, product constraints, observability, evaluation, trust and safety, and consumer-grade product craft. The bar is not “can the agent respond?”—it’s “can the agent correctly, safely, and verifiably complete the work?” **ABOUT THE ROLE** As an **Applied AI Engineer**, you’ll help build, evolve, and operate the **Capabilities Engine**—the core platform that makes agentic behavior reliable, reusable, observable, and production-ready across Rocket Money’s AI-powered experiences. You’ll create the primitives capability teams need to turn ambiguous product needs into shippable technical plans, prototypes, and durable systems. You’ll also partner with contact-method owners across phone, email, chat, web login, ODC, and autonomous workflows to make each method more agentic and better integrated with the Capabilities Engine. **IN THIS ROLE, YOU’LL:** - Build, evolve, and operate the Capabilities Engine as a core platform for agentic product behavior. - Design abstractions that make capabilities easy for agents and methods to discover, invoke, compose, observe, and improve. - Partner with method owners across all contact method subagents (and supporting agents) to make each method more agentic and better integrated. - Identify repeated patterns across methods and turn them into reusable capabilities, interfaces, evaluations, and operating practices. - Provide guidance on monitoring and optimizing reliability, latency, cost, observability, and safety of capability execution in production. - Develop practical evaluation loops for agentic behavior (offline tests, production metrics, traces, regression suites, qualitative review). - Debug complex failures across model behavior, tool execution, orchestration, product constraints, and downstream systems. - Translate ambiguous product needs into shippable technical plans, prototypes, and durable systems. - Create the primitives capability teams need to successfully produce shippable systems. - Collaborate with product, design, data, platform, and operations partners to ensure capabilities are useful, understandable, and safe for real users. - Mentor and develop engineers across the Agents Group; act as a technical multiplier. - Document system behavior, capability contracts, tradeoffs, and operational expectations. - Drop into high-priority method work to accelerate agentic behavior, unblock launches, or stabilize production issues. - Stay curious about the frontier of applied AI engineering and help adopt new tools/patterns that improve dependability. **YOU MAY BE A GOOD FIT IF YOU:** - Have experience shipping production software with strong engineering funda
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