Back to Jobs
SoFi

Staff AI Software Engineer, Risk Engineering at SoFi

SoFi Seattle, WA

Job Description

The role:As a Staff Software Engineer focused on Gen AI applications youll play a critical hands-on role in building deploying and optimizing scalable real-time full-stack custom applications powered by the latest advances in Generative AI. The ideal candidate has 8 years of engineering experience a proven record of full-stack delivery and deep expertise in designing AI-driven 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 youll do:Architect design and build end-to-end user-facing AI applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging Snowflake Cortex for advanced AI workloads).Manage deployment pipelines and infrastructure as code using ArgoCD GitLab CI/CD and AWS best practices.Design and implement multi-agentic AI applications leveraging frameworks like LangChain / LangGraph enabling autonomous stateful and collaborative agent workflows for complex real-world problem solvingOwn technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.Deploy optimize and monitor workflows on enterprise frameworksAutomate real-time and batch data flows using orchestration tools such as Apache Airflow.Participate in technical architecture reviews code and design reviews and help guide technical decision-making for AI-driven services.Collaborate with Product Design and Engineering to deliver high-impact solutions; mentor peers and foster a growth-mindset environment.Stay current with GenAI LLM infrastructure and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.What youll need:Bachelors or Masters degree in Computer Science Engineering or a related technical field.8 years of professional software engineering experience with heavy focus on full-stack custom product delivery specializing in AISolid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment CI/CD and environment management.Advanced proficiency in React and front-endtoback-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 mentor others 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.Required Experience:Staff IC Key Skills Campaigns,JSP,Dhtml,Loans,Automobile Employment Type : Full-Time Experience: years Vacancy: 1

Resume Suggestions

Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.

Quantify your achievements with specific metrics and results whenever possible to show impact.

Emphasize your proficiency in relevant technologies and tools mentioned in the job description.

Showcase your communication and collaboration skills through examples of successful projects and teamwork.

Explore More Opportunities