Staff Applied AI Engineer

🕒 September 24

🏄 California, District of Columbia, +1 more states – Remote

🏄 California – Remote 🏛️ District of Columbia – Remote 🗽 New York – Remote

💵 $200k - $270k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Rocket Money (formerly Truebill)

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Rocket Money is a comprehensive personal finance management app designed to help users save more, spend less, and take control of their financial lives. The app offers features such as subscription management, spending insights, bill negotiation, net worth tracking, budgeting, and credit score monitoring. With its automated services, Rocket Money aims to simplify money management by finding and tracking subscriptions, helping to negotiate lower bills, and automating savings processes. Users can link all of their financial accounts in one place to get a full financial picture and set financial goals. The app also provides access to financial experts who can assist with personal finance queries.

📋 Description

• 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

• 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

• 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