Senior Software Engineer: ML/GenAI, Full-Stack Leader

U.S. Bank; Minneapolis (MN); On-site; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability coverage

Parental leave

401(k) and retirement plan

Paid vacation

11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking an experienced software professional in Minneapolis to design, develop, test, and maintain production-grade applications.

You will own full-stack development with emphasis on backend and ML systems, while applying agile and DevOps practices to minimize customer impact. The role requires collaboration with cross-functional teams, mentorship of engineers, and ensuring security and regulatory compliance as we scale AI-enabled solutions.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Five to six years of relevant experience.
• Experience leading development of modern web applications.
• Strong backend + ML systems experience and GenAI exposure.
• Expertise in agile development methodologies and code reviews.

Responsibilities

• Design, develop, test, operate and maintain products.
• Own full stack development with production-ready code.
• Ensure scalable, reliable and high-performance designs.
• Analyze failures, propose design changes and improve operations.
• Collaborate with partner teams to deliver high-quality software.

Skills

Full-stack development

Backend + ML systems

GenAI exposure

ML platform engineering

AI/ML understanding

Leadership skills

Agile methodologies

Code review

Education

Bachelor’s degree or equivalent

Job description

U.S. Bank is seeking an experienced software professional in Minneapolis to design, develop, test, and maintain production-grade applications.

You will own full-stack development with emphasis on backend and ML systems, while applying agile and DevOps practices to minimize customer impact. The role requires collaboration with cross-functional teams, mentorship of engineers, and ensuring security and regulatory compliance as we scale AI-enabled solutions.