Mid-Level AI Software Engineer (Python)

US Bank

Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Hopkins, MN
Salary
$105,400–$124,000 / yr
Posted
1 day ago
Closes
Jun 22, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $115k
$89k most similar roles pay here $254k

This role pays less than 98% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $115k versus about $199k 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 37 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 37 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Mid-Level AI Software Engineer (Python)

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Join our dynamic software engineering team as a mid-level engineer specializing in Generative AI and agentic systems. You will contribute to designing, developing, and maintaining cutting-edge AI products, focusing on building production-ready code for RAG pipelines and integrating vector databases like FAISS or Pinecone. Your day-to-day involves troubleshooting issues, participating in code reviews, and applying software reliability engineering practices. Proficiency in Python is essential, along with experience in LangChain, LangGraph, and modern UI frameworks such as React. This role requires a solid understanding of Generative AI use cases, agentic AI concepts, and Knowledge Graphs, ensuring you are at the forefront of innovation while adhering to responsible AI principles and regulatory standards.

Skills

Python Java Generative_AI RAG_architectures FAISS Pinecone Weaviate OpenSearch Azure_AI_Search LangChain LangGraph Neo4j TigerGraph React Agile DevOps Responsible_AI UI_frameworks

What you'll do

  • Develop production-ready code for AI workflows and software components.
  • Build and integrate Generative AI solutions using vector databases like FAISS or Pinecone.
  • Support development of agentic AI systems with multi-step reasoning capabilities.
  • Troubleshoot issues in traditional software and AI components, proposing fixes.
  • Participate in code reviews to apply best practices and update implementations accordingly.
  • Stay informed about emerging technologies in Generative AI and contribute prototypes.

What we're looking for

  • 5+ years of software development experience in Python
  • 2-3 years of hands-on experience with Generative AI use cases and RAG architectures
  • Experience building and integrating vector databases for semantic search and retrieval
  • Practical experience with LangChain and LangGraph for complex agent workflows
  • Familiarity with modern UI frameworks and integration of AI services into applications
  • Working knowledge of Agile software development lifecycle and DevOps practices
  • Strong analytical, problem-solving skills and understanding of responsible AI principles

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