Job Description
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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.
The role:
As a Manager - AI Software Engineer you will play a critical hands-on role in managing a high-performing team while building deploying and optimizing scalable real-time full-stack custom applications from traditional workflows and user interfaces to applications powered by the latest advances in AI. You are a seasoned and experienced full-stack engineer with deep expertise in designing and delivering software solutions from the UI to the data back-end. You roll up your sleeves to have a “code first” approach. You will work across cross-functional delivery teams to shape technical architecture champion engineering best practices lead technical design mentor engineers drive product management engagement and ensure successful delivery of high-value solutions for our users.
What you’ll do:
- Own the end-end full-stack engineering infrastructure and drive technical delivery from ideation and requirements decomposition through to deployment and continual improvement ensuring alignment with product and business goals.
- Engage with product design and business stakeholders to align technical strategy drive decision-making and deliver high-impact solutions.
- Architect design and build end-to-end user-facing applications using rich interactive user-interfaces. You will remain hands-on leveraging your expertise working with information extracted from databases and APIs (including native database functions such as Snowflake Cortex for advanced AI workloads).
- Participate in the design of and partner with AI specialists in the implementation of production-grade scalable multi-agentic AI applications enabling autonomous stateful and collaborative agent workflows for complex real-world problem solving.
- Manage deployment pipelines and infrastructure as code using ArgoCD GitLab CI/CD and AWS best practices.
- Deploy optimize and monitor workflows on enterprise frameworks.
- Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
- Lead code and design reviews making critical technical decisions for AI-driven services.
- Stay current with software engineering AI LLM infrastructure and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.
- Lead and mentor a team of talented software engineers fostering a culture of technical excellence ownership and innovation.
What you’ll need:
- Bachelor’s or Master’s degree in Computer Science Engineering or a related technical field.
- 9+ years of professional software engineering experience with a heavy focus on Python and full-stack custom product delivery including experience leading engineering teams projects or functions.
- Proven track record of simultaneously delivering high-quality production-grade scalable and highly available cloud-based services and managing project and delivery milestones.
- Solid DevOps and infrastructure-as-code experience using ArgoCD and GitLab for deployment CI/CD and environment management.
- Advanced proficiency in React Node.js and front-end–to–back-end custom app development.
- Extensive hands-on experience with database platforms - Snowflake strongly preferred including advanced features AI/ML integrations and Snowflake Cortex.
- Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
- Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders including product management.
- Willingness to take ownership mentor others and champion learning and innovation within the organization.
Nice to have:
- Prior fintech or high-throughput consumer product experience.
- Exposure to cloud-native or AI workflow orchestration platforms.
- Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.
Top Skills
What the Team is Saying
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete but can come together to create something truly unconventional in the world. For the last eight years we’ve been charting this new path forward. We call it The SoFi Way. At SoFi we don’t just talk about culture: we live it. The SoFi Way is how we show up every day how we make decisions and how we build for our members clients and each other.
Why Work With Us
Together with our members we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront.
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SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule the in-office requirement is a handful of days per month!
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Date Posted
04/12/2026
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