Software Engineer 2 (Gen AI, LLM, RAG)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description 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. Essential Responsibilities: - Responsible for designing, developing, testing, operating and maintaining products - Takes full stack ownership by consistently writing production-ready and testable code - Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs - Performs analysis on failures, propose design changes, and encourage operational improvements - Makes sound design/coding decisions keeping customer experience in the forefront - Takes feedback from code review and apply changes to meet standards - Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures - Accountable for ensuring all aspects of product development follow compliance and security best practices - Exhibits relentless focus in software reliability engineering standards embedded into development standards - Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation - Contributes to a culture of innovation, collaboration and continuous improvement - Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation Basic Qualifications - Bachelor’s degree, or equivalent work experience - Three to five years of relevant experience Preferred Skills/Experience • Experience designing and deploying AI/Generative AI applications using Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , embedding models , and prompt engineering . • Hands-on experience with agentic AI frameworks including LangChain and LangGraph . • Experience integrating Azure OpenAI , Azure AI Services , AWS Bedrock , and other AI/LLM platforms into enterprise applications. • Strong programming experience with Java , Python , Spring Boot , FastAPI , and Node.js . • Proven ability to build and consume REST APIs , GraphQL services , and microservices architectures . • Experience working with vector databases , SQL Server , PostgreSQL , and MongoDB to support AI-driven and data-intensive solutions. • Knowledge of Docker , Kubernetes , CI/CD pipelines , GitHub , and modern DevOps practices . • Experience leveraging GitHub Copilot and other AI-assisted development tools to improve productivity, code quality, and testing automation. • Familiarity with Agile methodologies , code reviews , technical documentation , and software engineering best practices. Location expectations   This role requires working from a U.S. Bank location three (3) or more days per w