Senior Full Stack Engineer, Generative AI

Rocket Money (formerly Truebill)

full-time

Posted on: 9/27/2025

Location Type: Hybrid

Location: San Francisco • Arizona, California, Colorado, District of Columbia, Florida, Maryland, New York • 🇺🇸 United States

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💰 $150,000 - $200,000 per year

Senior

AWSCloudGraphQLNode.jsPostgresSpringSQLTypeScript

About the role

Operate in a hybrid capacity with 2-3 days in a Rocket Money office closest to you (Silver Spring, New York City, San Francisco, Los Angeles, Miami, Fort Lauderdale, Denver, or Phoenix).
Spend approximately half of your time on LLM-driven work: crafting, refining, and evaluating prompts; designing and iterating RAG/data retrieval strategies; building prompt/response evaluation frameworks; and ensuring the quality and safety of model outputs.
Spend the other half building and scaling backend services in TypeScript/Node (GraphQL, PostgreSQL/pgvector, AWS) to serve, secure, and monitor our AI-powered user experiences.
Own features end-to-end: from technical design through implementation and infrastructure to monitoring.
Collaborate with product, design, and data teammates to transform user challenges into effective conversational solutions—rapidly iterating based on real-world feedback.
Stay on top of the latest GenAI research, open-source tooling, and best practices—advocating and implementing relevant innovations.
Contribute to team quality through code reviews, architecture discussions, and mentorship.
Build the intelligence behind Rocket Money’s next-generation financial assistant.

6+ years as a professional software engineer, with a strong focus on backend TypeScript/Node and SQL-based systems.
Demonstrated hands-on experience with large language models—spanning personal projects, prototypes, open-source, or production—including prompt engineering, model evaluations/benchmarks, and understanding of RAG workflows.
Solid SQL/data modeling skills, ideally with exposure to PostgreSQL (extra credit for pgvector).
Experience with or enthusiasm for LLM infrastructure tools such as LangFuse and LiteLLM, as well as cloud-based deployment (AWS preferred).
You’re passionate about GenAI and actively experiment with new models, evaluation tools, and AI workflows in your own time.
Self-driven, communicative, and motivated to deliver impactful solutions in a fast-moving, highly collaborative environment.
Bonus Points: Experience using LangFuse and/or LiteLLM for tracking prompts, responses, and evaluations; Familiarity with model observability stacks; Any exposure to fintech, security, or compliance challenges.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

TypeScriptNodeSQLPostgreSQLpgvectorprompt engineeringmodel evaluationdata retrieval strategiesbackend servicescode reviews

self-drivencommunicativemotivatedcollaborativementorshipproblem-solvingadaptabilityinnovation advocacyfeedback iterationimpactful solutions