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AI Software Engineer, Risk Engineering

Remote / Online - Candidates ideally in
Cottonwood Heights, Salt Lake County, Utah, USA
Listing for: SoFi
Remote/Work from Home position
Listed on 2025-12-17
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Software Engineer, Risk Engineering

Staff AI Software Engineer, Risk Engineering

4 days ago Be among the first 25 applicants

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This role is provided by SoFi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

The role

As a Staff Software Engineer focused on Gen AI applications, you’ll 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 you’ll do
  • Architect, design, and build end‑to‑end user‑facing AI applications with rich interactive user‑interfaces and 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, Git Lab CI/CD, and AWS best practices.
  • Design and implement multi‑agentic AI applications leveraging frameworks like Lang Chain / Lang Graph, 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 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 you’ll need
  • Bachelor’s or Master’s 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 AI.
  • Solid devops and infrastructure‑as‑code experience using ArgoCD and Git Lab 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, 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.
Compensation And Benefits

The base pay range for this role is listed above. 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 So Fi page.

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender identity, national origin, age, physical or medical disability, marital status, sexual orientation, genetic information, military 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  Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

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