{"id":1201827,"url":"https://alion.io/job/rocket-money-staff-applied-ai-engineer","title":"Staff Applied AI Engineer","company":{"id":97182,"name":"Rocket Money","domain":"rocketmoney.com","url":"https://alion.io/company/rocket-money","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-25T05:45:01Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-24T19:34:16Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T01:27:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"ABOUT ROCKET MONEY\nRocket 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.\nABOUT THE TEAM\nRocket Money’s mission is to meaningfully improve the financial lives of millions of people. We help customers understand their money, reduce waste, stay on top of bills and subscriptions, and take action with more confidence.\nThe 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. The 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.\nThis 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?” The bar is “can the agent correctly, safely, and verifiably complete the work?”\nABOUT THE ROLE\nAs an Applied AI Engineer, you will 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.\nYou will create the primitives that capability teams need to turn ambiguous product needs into shippable technical plans, prototypes, and durable systems. You will 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. That means helping agents plan, discover and invoke capabilities, recover from ambiguity, handle real-world edge cases, and complete user-facing work safely and correctly.\nThis role is for an engineer who is excited by-and experienced in-AI as an execution layer, not just a conversation layer. You will build systems that let agents use tools, observe outcomes, recover from failure, and earn enough trust to act on behalf of users.\nYou will work across product and platform boundaries, moving between architecture, implementation, debugging, evaluation, and cross-functional collaboration. Success means making the Capabilities Engine easier to extend, operate, and integrate with; improving task completion and recovery across methods; and ensuring new capabilities ship with clear contracts, tests, traces, ownership, and production-readiness expectations.\nIN THIS ROLE, YOU'LL:\nBuild, evolve, and operate the Capabilities Engine as a core platform for agentic product behavior.\nDesign abstractions that make capabilities easy for agents and methods to discover, invoke, compose, observe, and improve.\nPartner with method owners across all contact method subagents as well as supporting agents to make each method more agentic and better integrated with the Capabilities Engine.\nIdentify repeated patterns across methods and turn them into reusable capabilities, interfaces, evaluations, and operating practices.\nProvide guidance on how to monitor and optimize reliability, latency, cost, observability, and safety of capability execution in production.\nDevelop practical evaluation loops for agentic behavior, including offline tests, production metrics, traces, regression suites, and qualitative review.\nDebug complex failures across model behavior, tool execution, orchestration, product constraints, and downstream systems.\nTranslate ambiguous product needs into shippable technical plans, prototypes, and durable systems.\nCreate the primitives capability teams need to successfully produce shippable technical plans, prototypes, and durable systems.\nCollaborate with product, design, data, platform, and operations partners to ensure capabilities are useful, understandable, and safe for real users.\nMentor and develop engineers across the Agents Group, acting as a technical multiplier by sharing expertise, fostering a culture where others feel empowered to propose ideas and take on high-impact work, and helping shape the group's overall technical direction and standards.\nDocument system behavior, capability contracts, tradeoffs, and operational expectations so other teams can build on the platform confidently.\nDrop into high-priority method work when needed to accelerate agentic behavior, unblock launches, or stabilize production issues.\nStay curious about the frontier of applied AI engineering and help the team adopt new tools, patterns, and workflows where they make the product more dependable.\nYOU MAY BE A GOOD FIT IF YOU:\nHave experience shipping production software with strong engineering fundamentals.\nAre excited by AI as an execution layer. You understand that durable customer value comes from orchestration, tools, workflows, evaluation, approvals, observability, and recovery.\nHave hands-on experience or strong practical familiarity with LLM applications, agentic systems, tool calling, retrieval, workflow orchestration, or applied AI products.\nHave strong product judgment. You can reason from customer need to product experience to technical architecture, and you know the difference between a clever demo and a dependable customer-facing system.\nAre comfortable working across ambiguity. You can take a broad problem, identify the crux, sequence the work, make tradeoffs, and keep moving without waiting for perfect clarity.\nLike building platform abstractions and shared services that help multiple teams or product surfaces move faster.\nHold a high bar for quality, reliability, and trust. You know that systems acting on behalf of users need clear contracts, observability, evaluation, and recovery paths.\nAre energized by debugging messy production behavior across model outputs, distributed systems, product logic, user context, and downstream integrations.\nCommunicate clearly with engineering, product, design, data, operations, and platform partners.\nAre motivated to actively mentor and grow others.\nAre a tenacious learner who stays engaged with the frontier of AI engineering without chasing every shiny object.\nAre motivated by measurable customer and operational impact, not just interesting technical demos.\nSTRONG CANDIDATES MAY HAVE:\nExperience building production LLM applications, agentic systems, workflow engines, tool-calling systems, or AI-powered product surfaces.\nExperience designing capability platforms, shared services, orchestration systems, or reusable product infrastructure.\nExperience with TypeScript, Node, GraphQL, Postgres, LLM applications, agentic systems, and workflow orchestration.\nExperience creating evaluation and observability systems for probabilistic or agentic behavior.\nExperience improving reliability, alerting, tracing, incident response, operational quality, or other systems that make software safer and more dependable over time.\nExperience partnering deeply with Product, Design, Data, Operations, Legal, Support, or other cross-functional teams in a sensitive customer domain.\nFirsthand experience building products where customer trust, permissions, explainability, and recovery paths are central to the experience.\nA visible habit of turning repeated one-off work into reusable systems, patterns, and documentation.\nWE OFFER\nHealth, Dental & Vision Plans\nCompetitive Pay\n401k Matching\nUnlimited PTO\nLunch daily (in-office only)\nSnacks & Coffee (in-office only)\nCommuter benefits (in-office only)\nAdditional information: Salary range of $200,000 - $270,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.\nThis job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.\nThe information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.","description_format":"text","description_chars":9297,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T21:20:16Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":270000,"is_top_pay":false},"html_url":"https://alion.io/job/rocket-money-staff-applied-ai-engineer","json_url":"https://alion.io/job/rocket-money-staff-applied-ai-engineer.json","meta":{"generated_at":"2026-09-26T01:51:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1847,"day_limit":5000,"remaining_today":3153,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}