Senior Full Stack Engineer, Rocket Money

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

Desirable

• 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
• 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