Senior Full Stack Engineer, AI Experience (Baltimore) Job at Rocket Money, Baltimore, MD

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  • Rocket Money
  • Baltimore, MD

Job Description

Senior Full Stack Engineer, AI Experience

Join to apply for the Senior Full Stack Engineer, AI Experience role at Rocket Money

Senior Full Stack Engineer, AI Experience

Join to apply for the Senior Full Stack Engineer, AI Experience role at Rocket Money

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Rocket Moneys 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 extending our personalized experiences beyond the app by meeting members where they are. Our goal is to deliver real-time insights, recommendations, and tools that boost engagement, retention, and overall value. We leverage Generative AI to redefine personal finance management, empowering users to make informed financial decisions and achieve their goals. By integrating cutting-edge AI technologies, we create engaging and supportive financial experiences. Our development stack includes Node.js, GraphQL, TypeScript, React, and PostgreSQL, ensuring robust and scalable solutions across all platforms.

IN THIS ROLE, YOU'LL:

  • Collaborate closely with a team of engineers, product managers, designers, analysts, and AI experts to deliver innovative financial tools powered by Generative AI.
  • Take full ownership of complex features, driving their development from initial design to final production, ensuring reliability and performance throughout.
  • Develop engaging and seamless user interfaces using React and TypeScript while supporting robust backend services with Node.js, GraphQL, and PostgreSQL.
  • Leverage Generative AI to creatively solve problems and enhance product offerings, ensuring we remain ahead of evolving market trends and user needs.
  • You bring 6+ years of experience in developing applications using Node.js/TypeScript, React, GraphQL, and PostgreSQL, with a strong track record of delivering impactful solutions.
  • You have a genuine passion for leveraging Generative AI in personal finance applications and stay informed about the latest industry trends and advancements.
  • You effectively incorporate AI into problem-solving, using its capabilities to create intelligent and efficient solutions for complex challenges.
  • You are self-motivated and collaborate effectively within cross-functional teams, always striving to deliver high-quality work that adds value to users.
  • You are committed to continuous learning and actively contribute to the professional growth of your peers through knowledge sharing and mentorship.
  • You understand the importance of both the what and why of your work, aiming to deliver solutions that genuinely benefit users in meaningful ways.
  • Bonus Points if you have production Generative AI or Machine Learning experience.
  • Life Insurance
  • Long/Short Term Disability
  • Competitive Pay
  • 401k Matching
  • Team Member Stock Purchasing Program (TMSPP)
  • Tuition Reimbursement
  • Unlimited PTO
  • Daily Lunch, Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/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, or protected veteran status and will not be discriminated against on the basis of disability.

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

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

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Job Tags

Full time, Temporary work, Work at office,

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