Full-stack Engineer

• 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.

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