AI Software Engineer (Python)

U.S. Bank•Hopkins, MN

1d•Hybrid

About The Position

Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we’re one of the country's most respected, innovative, ethical and successful financial institutions. We’re looking for people who want more than just a job – they want to make a difference! U.S. Bank is seeking a Software Engineer who will contribute toward the success of our technology initiatives in our digital transformation journey. This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Requirements

Bachelor’s degree in computer science, Engineering, or related field, or equivalent practical experience
3-5 years of relevant software engineering experience
3-5 years of software development experience in Python ( Java or other object-oriented languages is a plus)
2-3 years of hands-on experience with Generative AI use cases, including RAG architectures, prompt engineering, and evaluation approaches
Experience building and integrating vector databases (e.g., FAISS, Pinecone, Weaviate, OpenSearch, Azure AI Search) for semantic search and AI-powered retrieval
Exposure to agentic AI concepts, such as multi-step reasoning, tool invocation, workflow orchestration, and AI agents built using modern frameworks
Practical experience building AI applications using LangChain and LangGraph, including the design and orchestration of complex agent workflows and retrieval-augmented generation pipelines
2–3 years of experience building data-driven APIs and services using Python
Working knowledge of Agile software development lifecycle and DevOps practices
Understanding of how AI-powered features impact user workflows, decision-making, and trust
Growing understanding of responsible AI principles, model limitations, and guardrails in regulated environments
Ability to collaborate across engineering, product, data, and business teams
Technical proficiency to help define and implement solution requirements for end users
Ability to communicate processes, design decisions, and results with engineers, product owners, scrum masters, vendors, and stakeholders
Solid understanding of algorithms, data structures, architectural design patterns, and best practices
Strong analytical, problem-solving, and learning mindset

Nice To Haves

Java or other object-oriented languages is a plus
Exposure to Knowledge Graph concepts and graph databases (e.g., Neo4j, TigerGraph) is a plus.
Familiarity with modern UI frameworks (e.g., React) and how AI services integrate into user-facing applications is a plus

Responsibilities

Contribute to designing, developing, testing, operating, and maintaining software and AI-enabled products with guidance from senior engineers
Develop production-ready, testable code for assigned components, services, and AI workflows
Assist in building and integrating Generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines using vector databases
Support the development and enhancement of agentic AI systems, such as task-oriented AI agents that can plan, reason, retrieve information, and invoke tools under defined guardrails
Follow established architectural patterns and best practices, considering scalability, reliability, performance, and cost when implementing AI-enabled solutions
Assist with troubleshooting, model/output quality issues, and root-cause analysis for traditional software and AI components; propose fixes under guidance
Make sound design and implementation decisions with customer and employee experience in mind; escalate risks and questions appropriately
Incorporate feedback from code reviews and update implementations to meet engineering, security, and compliance standards
Participate in code reviews (as author and reviewer) to learn and apply software and AI engineering best practices
Follow compliance, risk, data privacy, and security best practices in all phases of product and AI solution development
Learn and apply software reliability engineering (SRE) practices and AI evaluation techniques embedded in the team’s standards
Stay curious about emerging technologies in GenAI, agentic frameworks, and vector search, contributing ideas, prototypes, and proofs of concept
Contribute to a culture of innovation, collaboration, and continuous improvement
Communicate progress, blockers, and risks early; collaborate with the team to deliver well-scoped, incremental features

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Incentive and recognition programs
Equity stock purchase
401(k) contribution and pension