Java Ai Developer Jobs in Minnesota (NOW HIRING)

Job Summary:
U.S. Bank is one of the country's most respected and innovative financial institutions, currently seeking a Mid-Level AI Software Engineer to contribute to their digital transformation journey. The role involves designing, developing, and maintaining AI-enabled software products, ensuring high-quality customer experiences while adhering to best practices in software development and compliance.
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
Qualifications:
Required:
• Bachelor’s degree in computer science, Engineering, or related field, or equivalent practical experience
• 3-5 years of relevant software engineering experience
• 5+ years of software development experience in Python
• 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
• 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
• This role requires working from a U.S. Bank location three (3) or more days per week.
Preferred:
• 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
• Growing understanding of responsible AI principles, model limitations, and guardrails in regulated environments
Company:
At U.S. Founded in 1968, the company is headquartered in Minneapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.