Staff Applied AI Engineer

Rocket Money (formerly Truebill)

. Build, evolve, and operate the Capabilities Engine as a core platform for agentic product behavior .

Posted 9/24/2026full-timeRemote • United StatesLead💰 $200,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evolving capability platforms, with a strong focus on reliability, observability, and operational quality. Proficient in collaborating across cross-functional teams to translate product needs into technical solutions while mentoring engineers and shaping technical standards.

Highest-signal resume keywords

Production Software DevelopmentLLM Applications ExperienceWorkflow OrchestrationTypeScript and Node ProficiencyCapability Platform Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentLLM ApplicationsWorkflow OrchestrationTypeScriptNodeGraphQLPostgresEvaluation SystemsDebugging Production BehaviorIncident Response

Soft Skills

Clear CommunicationMentoring EngineersProduct JudgmentAbility to Work Across AmbiguityHigh Standards for Quality

Industry Keywords

Agentic SystemsApplied AI ProductsShared ServicesReusable Product InfrastructureOperational QualityCustomer TrustObservabilityEvaluation LoopsCross-Functional CollaborationProduction Metrics

Tech Stack

Tools & technologies

Distributed SystemsGraphQLNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

Build, evolve, and operate the Capabilities Engine as a core platform for agentic product behavior
Design abstractions for agents and methods to discover, invoke, compose, observe, and improve capabilities
Partner with contact-method owners across phone, email, chat, web login, ODC, and autonomous workflows
Turn repeated patterns across methods into reusable capabilities, interfaces, evaluations, and operating practices
Monitor and optimize reliability, latency, cost, observability, and safety of production capability execution
Develop evaluation loops including offline tests, production metrics, traces, regression suites, and qualitative review
Debug failures across model behavior, tool execution, orchestration, product constraints, and downstream systems
Translate ambiguous product needs into technical plans, prototypes, and durable systems
Collaborate with product, design, data, platform, and operations partners
Mentor and develop engineers across the Agents Group and help shape technical direction and standards
Document system behavior, capability contracts, tradeoffs, and operational expectations
Support high-priority method work to accelerate agentic behavior, unblock launches, or stabilize production issues
Evaluate and adopt new applied AI tools, patterns, and workflows

Requirements

What you’ll need

Experience shipping production software with strong engineering fundamentals
Hands-on experience or strong practical familiarity with LLM applications, agentic systems, tool calling, retrieval, workflow orchestration, or applied AI products
Strong product judgment and ability to reason from customer need to product experience to technical architecture
Ability to work across ambiguity, identify the crux, sequence work, make tradeoffs, and proceed without perfect clarity
Interest in building platform abstractions and shared services for multiple teams or product surfaces
High standards for quality, reliability, trust, clear contracts, observability, evaluation, and recovery paths
Experience debugging production behavior across model outputs, distributed systems, product logic, user context, and downstream integrations
Clear communication with engineering, product, design, data, operations, and platform partners
Motivation to mentor and develop engineers
Experience with production LLM applications, agentic systems, workflow engines, tool-calling systems, or AI-powered product surfaces
Experience designing capability platforms, shared services, orchestration systems, or reusable product infrastructure
Experience with TypeScript, Node, GraphQL, Postgres, LLM applications, agentic systems, and workflow orchestration
Experience creating evaluation and observability systems for probabilistic or agentic behavior
Experience improving reliability, alerting, tracing, incident response, and operational quality
Experience partnering with Product, Design, Data, Operations, Legal, Support, or other cross-functional teams in a sensitive customer domain
Experience building products where customer trust, permissions, explainability, and recovery paths are central
Habit of turning repeated one-off work into reusable systems, patterns, and documentation

Benefits

Comp & perks

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus
Reasonable accommodations for qualified individuals with disabilities