Mid-Level AI Software Engineer; Python
Listed on 2026-06-06
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Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer
Job Description
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 Dev Ops principles.
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; elevate 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
Basic Qualifications- 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 (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, Open Search, 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 Lang Chain and Lang Graph, 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
- Exposure to Knowledge Graph concepts and graph databases (e.g., Neo4j, Tiger Graph) is a plus
- Familiarity with modern UI frameworks (e.g., React) and how AI services integrate into user-facing applications is a plus
- Working knowledge of Agile software development lifecycle and Dev Ops practices
- Understanding of how AI-powered…
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