Software Engineer 1, AI, Python, LLM, RAG, CI/CD

U.S. Bank

. Analyze, design, test, develop, and maintain best-in-class software experiences .

Posted 9/24/2026full-timeUnited StatesJuniorMid-Level💰 $92,820 - $109,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining Generative AI solutions, including Large Language Models (LLMs) and Prompt Engineering, while leveraging Python for cloud-native applications. Experienced in Agile methodologies, CI/CD practices, and deploying applications on Azure and AWS platforms.

Highest-signal resume keywords

Python DevelopmentGenerative AI SolutionsLangChain FrameworkCI/CD ToolsCloud-Native Application Development

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringREST APIsMicroservices ArchitectureDockerKubernetesInfrastructure as CodeAgile MethodologiesTroubleshootingProblem-SolvingJava / Spring Boot

Soft Skills

CommunicationCollaboration

Tools & Technologies

AzureAWSTerraformARMBicepLangGraphMicrosoft Foundry Agent Services

Industry Keywords

Generative AILarge Language ModelsPrompt EngineeringRAG ArchitecturesDevOps Practices

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerJavaKubernetesMicroservicesPythonSpringSpring BootSpringBootTerraform

About the role

Key responsibilities & impact

Analyze, design, test, develop, and maintain best-in-class software experiences
Develop and maintain Generative AI solutions using LLMs, Prompt Engineering, and RAG
Build AI-powered workflows using LangChain, LangGraph, and Microsoft Foundry Agent Services
Design, develop, test, and deploy scalable software applications in an Agile environment
Develop and support Python-based APIs, microservices, and cloud-native applications
Collaborate with product managers, engineers, and business partners to deliver AI-enabled solutions
Monitor, troubleshoot, and optimize application performance in production environments
Support deployment and operations across Azure and AWS cloud platforms while adhering to security and compliance standards
Contribute to CI/CD pipelines, automated testing, containerization, code reviews, and technical documentation
Take responsibility for software artifacts and minimize impact to the customer experience

Requirements

What you’ll need

Bachelor’s degree, or equivalent work experience
Two to three years of relevant experience
2-3 years of software engineering experience with strong proficiency in Python development
Knowledge of Generative AI concepts, including Large Language Models (LLMs), Prompt Engineering, and RAG architectures
Experience or familiarity with LangChain, LangGraph, or similar AI orchestration frameworks
Understanding of REST APIs, microservices architecture, and distributed systems design
Experience with Docker, Kubernetes, and CI/CD tools for application deployment and automation
Exposure to Azure and/or AWS cloud platforms and cloud-native application development
Java / Spring Boot
Knowledge of Infrastructure as Code (Terraform, ARM, or Bicep) and modern DevOps practices
Strong problem-solving, communication, collaboration, and troubleshooting skills with the ability to work effectively in Agile teams
This position is not eligible for visa sponsorship
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Benefits

Comp & perks

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