Staff Software Engineer, AI Financial Actions & Recommendations
SoFi
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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
We are seeking a Staff Software Engineer to join the AI Financial Actions & Recommendations team at SoFi. This team is building the intelligence layer that powers SoFi’s Financial AI Agent — turning member goals and financial data into trusted, actionable recommendations and seamless execution opportunities across the SoFi ecosystem. You will have the opportunity to design and build a high-impact service from the ground up, shaping the architecture and systems that connect financial guidance to real-world action. This role will work at the forefront of Generative AI, integrating with SoFi’s Financial AI Agent to deliver intelligent, context-aware, and compliant experiences that help members take confident financial steps.
The ideal candidate is collaborative, product-minded, and pragmatic, with a strong sense of ownership and accountability for the quality of both the code and finished product. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution. We also pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering your own career growth as well as to providing mentorship for your fellow team members.
What you’ll do:
- Drive technical architecture, design decisions and cross-functional discussions for the product
- Deliver highly available and scalable services in a production environment
- Lead the design, development and testing of systems
- Lead code and system design reviews
- Help translate product requirements into user stories and technical solutions
- Mentor other engineers, support the technical culture, and help grow the team
- Generate ideas for new initiatives and technologies
- Communicate with project leads, product managers and other software developers
- Consistently demonstrate extremely high levels of technical knowledge, ingenuity, and creativity. Develop and apply advanced technologies, engineering principles, theories, and concepts. Broad knowledge about the design and operation of systems outside of specialty
- Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment
What you’ll need:
- Bachelor’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience
- 6+ years programming experience, ideally on a modern stack
- Our core stack is Kotlin / Spring / PostgreSQL, and we run on Kubernetes in a service oriented architecture with over 100 services in production.
- You should have 4+ years Java or Kotlin programming experience
- You should have a strong understanding of relational databases and ORMs
- You should have worked on a SOA or microservice-based application
- Experience working with asynchronous systems and event based systems (queues, streams)
- Experience working with applications that leverage Large Language Models (LLMs), such as integrating LLMs, designing prompts, or exploring their practical applications.
- Strong sense of ownership; driving a project from inception to completion
- Pragmatic approach towards handling tech debt versus shipping new features
- Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
Nice to have:
- Experience working with various emerging LLM technologies, including Retrieval-Augmented Generation (RAG), prompt engineering, or AI agents.
- Experience with Natural Language Processing (NLP) or conversational AI, including building chatbots, virtual assistants, or similar systems.
- Experience scaling highly available, mission critical systems
- Full-stack experience across Backend and Front-end (javascript/typescript, react)