Software Engineer I, AI/ML Engineer (Generative AI)

US Bank

Confirmed live today High trust
Closes tomorrow

Quick summary

Work type
On-site
Location
Chicago, ILCincinnati, OHCupertino, CACharlotte, NCHopkins, MN
Salary
$98,345–$115,700 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Sep 15, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $107k
$84k most similar roles pay here $229k

This role pays less than 98% of similar roles. Most pay $142,575–$212,582 — the shaded band above. At the midpoint, this role pays about $107k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 36 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Software Engineer I, AI/ML Engineer (Generative AI)

Software engineer 1 – AI/ML Engineer (Generative AI) joins the team to design, develop, test, and maintain high-quality software experiences. The role focuses on building and supporting Generative AI applications using LLMs, RAG architectures, and prompt engineering techniques. Day-to-day responsibilities include developing scalable applications and APIs using Python and microservices-based architectures while managing AI workflows through frameworks like LangChain, LangGraph, and Microsoft Foundry Agent Services. The engineer will also manage deployment, monitoring, and performance optimization of AI solutions across Azure and AWS platforms. Technical requirements include proficiency in Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code tools such as Terraform, ARM, or Bicep. This role addresses the technical challenge of deploying production-ready, cloud-native AI solutions while adhering to strict software engineering standards and agile development practices within a collaborative team environment.

What you'll do

  • Develop and maintain Generative AI applications using LLMs, RAG architectures, and prompt engineering.
  • Build and support AI workflows using frameworks like LangChain, LangGraph, and Microsoft Foundry Agent Services.
  • Develop scalable applications and APIs using Python and microservices-based architectures.
  • Deploy, monitor, troubleshoot, and optimize the performance of AI applications in production environments.
  • Support cloud-based AI solutions across Azure and AWS platforms following security best practices.
  • Contribute to CI/CD pipelines, automated testing, containerization, and infrastructure automation efforts.
  • Participate in code reviews, documentation, and Agile delivery processes while following engineering standards.

What we're looking for

  • Bachelor’s degree or equivalent work experience.
  • Two to three years of relevant experience.
  • Experience developing applications using Python and modern software engineering practices (preferred).
  • Knowledge of Generative AI concepts, including LLMs, Prompt Engineering, and RAG (preferred).
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or Microsoft Foundry Agent Services (preferred).
  • Experience with Azure and/or AWS cloud platforms and cloud-native application development (preferred).
  • Understanding of REST APIs, microservices, distributed systems, and scalable application design (preferred).
  • Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code (preferred).

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