Staff Applied AI Engineer

🕒 Setembro 24

🏄 California, District of Columbia, +1 estados a mais – Remoto

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

💵 $200.000 - $270.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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Rocket Money (formerly Truebill)

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Rocket Money é um aplicativo abrangente de gestão de finanças pessoais, projetado para ajudar os usuários a economizar mais, gastar menos e ter controle sobre suas vidas financeiras. O aplicativo oferece recursos como gerenciamento de assinaturas, insights de gastos, negociação de contas, acompanhamento de patrimônio líquido, elaboração de orçamentos e monitoramento de pontuação de crédito. Com seus serviços automatizados, o Rocket Money visa simplificar a gestão financeira, encontrando e rastreando assinaturas, ajudando a negociar contas mais baixas e automatizando processos de economia. Os usuários podem vincular todas as suas contas financeiras em um único lugar para obter uma visão financeira completa e definir metas financeiras. O aplicativo também fornece acesso a especialistas financeiros que podem ajudar com dúvidas sobre finanças pessoais.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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