Overview

Rocket 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. The EverPresence team is building the intelligence behind our next-generation financial assistant. We engineer robust backend systems (Node.js + TypeScript, PostgreSQL/pgvector, AWS) and push the envelope with cutting-edge Generative AI — integrating state-of-the-art models (OpenAI, Anthropic), retrieval-augmented generation (RAG) pipelines, and scalable LLM infrastructure. As a high-caliber, collaborative group, we value rapid experimentation, clean and reliable code, and earning user trust.

In this role, you'll:

1. 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).
2. 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.
3. 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.
4. Own features end-to-end: from technical design through implementation and infrastructure to monitoring.
5. Collaborate with product, design, and data teammates to transform user challenges into effective conversational solutions—rapidly iterating based on real-world feedback.
6. Stay on top of the latest GenAI research, open-source tooling, and best practices—advocating and implementing relevant innovations.
7. Contribute to team quality through code reviews, architecture discussions, and mentorship.
8. 6+ years as a professional software engineer, with a strong focus on backend TypeScript/Node and SQL-based systems.
9. 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.
10. Solid SQL/data modeling skills, ideally with exposure to PostgreSQL (extra credit for pgvector).
11. Experience with or enthusiasm for LLM infrastructure tools such as LangFuse and LiteLLM, as well as cloud-based deployment (AWS preferred).
12. You’re passionate about GenAI and actively experiment with new models, evaluation tools, and AI workflows in your own time.
13. 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

If you’re a strong backend developer who’s deeply curious about LLMs, prompt engineering, and building impactful GenAI solutions, let’s connect!

Compensation and Benefits

• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $200,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary and will not be considered in the hiring process. Any information you provide will be recorded and maintained in a confidential file. We do not discriminate on the basis of protected status.

Classification of protected categories is as follows: disabled veteran, recently separated veteran, active duty wartime or campaign badge veteran, Armed forces service medal veteran. If applicable, please indicate your status.

Public burden statement: This information collection is voluntary, and the form is intended to meet OFCCP requirements. This survey should take about 5 minutes to complete.