Senior Full Stack Engineer, AI & Data Products

Rocket Money is dedicated to improving the financial prosperity of millions of people through innovative financial solutions. The Senior Full Stack Engineer will work on a cross-functional team to implement user-facing features and contribute to the development of AI and data products, ensuring high-quality and scalable software solutions.

Responsibilities:

• Work on a cross-functional team of software engineers, ML engineers, and product managers to implement full-stack, user-facing features at the core of Rocket Money
• Implement AI/LLM/ML tools our ML engineers are building (and if you’re willing, contribute to the building of them yourself!)
• Develop with TypeScript across the Node.js, GraphQL, and PostgreSQL stack - mostly shipping backend features, but also at times building user interfaces using React in order to own the full-stack and experiment quickly
• Own complex features end-to-end, from initial product & technical design stages through to production, ensuring the appropriate engineering rigor has been applied for scalability, reliability, and observability
• Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process
• Support a collaborative and innovative culture by sharing your ideas via RFCs, participating in solution ideation, and giving your peers thoughtful feedback on their code and their proposals

Requirements:

• 5+ years of professional experience working with some combination of Node.js/TypeScript, React (or similar framework), and Postgres (or similar relational database)
• You are curious/interested in machine learning and the rapidly-evolving world of AI, and are excited about the opportunity to work side-by-side with ML engineers and help ship ML products to users
• You're not just interested in •what• you're building, but also •why• you're building it. You have a drive to ship product that deeply matters to users
• You get energized by complex problem spaces with many edge cases. You love distilling ambiguity into tractable todos
• You love continual evaluation & improvement and enjoy ideating on how to launch a v1 with a feedback loop as the means of training a brilliant v2. You have the same mentality about yourself and love giving & receiving feedback
• Experience with GraphQL is a plus: it's what we use
• Experience with Python is a plus: it's what the ML engineers we work with use
• Experience with training/tuning ML/AI models is a plus: software engineers on this team can certainly contribute in this arena
• Experience with ops/infra is a plus: we have a great infra team, but the more we contribute to shipping, the better it is for us