Easy Apply
Easy Apply
As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.
Employee Applicant Privacy Notice
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 Staff Software Engineer you’ll play a critical, hands-on role in building, deploying, and optimizing scalable, enterprise-class, production-grade, full-stack custom applications. The ideal candidate has 8+ years of engineering experience, a proven record of full-stack delivery, and deep expertise in designing software solutions from complex UIs and business process workflows to the back-end data sources. You will work across cross-functional delivery teams to shape technical architecture, champion best practices, and directly produce high-value solutions for our users.
What you’ll do:
- Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex or equivalent for advanced AI workloads).
- Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
- Collaborate with the AI engineers on the team to implement production grade multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
- Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement
- Deploy, optimize, and monitor complex business process workflows on enterprise frameworks
- Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
- Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
- Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
- Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 8+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
- 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.
- Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
- Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
- Willingness to take ownership, and champion learning and innovation within the organization.
- Exposure to other cloud-native or AI workflow orchestration platforms.
- Prior fintech or high-throughput consumer product experience.
- Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
Top Skills
Apache Airflow
Argocd
AWS
Cortex
Generative Ai
Gitlab Ci/Cd
Node.js
React
Snowflake
Similar Jobs at SoFi
Fintech • Mobile • Software • Financial Services
The Assistant General Counsel for Litigation will manage litigation, oversee consumer arbitration, collaborate with counsel, and handle legal matters related to banking regulations.
Fintech • Mobile • Software • Financial Services
The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.
Top Skills:
Google SuiteMS OfficeSQL
Fintech • Mobile • Software • Financial Services
The Product Marketing Manager will develop marketing strategies for SMB products, optimize user journeys, and collaborate on growth initiatives.
Top Skills:
A/B TestingData Analysis Tools
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
