Senior AI Software Engineer, Risk Engineering at SoFi

, , United States -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Full-Stack Development, AI Applications, DevOps, Infrastructure as Code, React, Node.js, Database Management, Snowflake, AI/ML Integrations, Apache Airflow, Cloud Services, Collaboration, Technical Architecture, Deployment Pipelines, Code Reviews

Industry

Financial Services

Description

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 Senior 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 5+ years of engineering experience, a proven record of full-stack delivery, and deep expertise in designing software solutions from the UI to the data back-end. 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 for advanced AI workloads). Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices. Collaborate with the team to implement multi-agentic AI applications leveraging frameworks like LangChain / LangGraph, 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 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 AI-driven services. 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. What you’ll need: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. 5+ 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. Nice to have: 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 Rights SoFi 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 accommodations@sofi.com. 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.

Responsibilities

The Senior AI Software Engineer will architect, design, and build end-to-end user-facing software applications while managing deployment pipelines and collaborating with cross-functional teams. They will also automate data flows and participate in code and design reviews.