Software Engineer II

US Bank

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cincinnati, OHAtlanta, GAHopkins, MNCharlotte, NCDenver, CO
Salary: $98,175–$115,500 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Closes: Oct 16, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k

This role $107k

$86k most similar roles pay here $215k

This role pays less than 95% of similar roles. Most pay $136,781–$195,687 — the shaded band above. At the midpoint, this role pays about $107k versus about $166k 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 35 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 32 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Software Engineer II

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Software Engineer 2 - CorePointAI will join the engineering team to analyze, design, develop, and maintain high-quality software experiences. The role focuses on building scalable solutions for CorePointAI capabilities across the enterprise, including developing RESTful APIs, microservices, and cloud-native applications. Key responsibilities involve implementing Retrieval Augmented Generation (RAG) solutions featuring document ingestion, embeddings, vector search, and prompt engineering to support AI-powered, data-driven initiatives. The candidate will utilize Java, Python, Microsoft Azure, and frameworks like LangChain or Semantic Kernel while adhering to DevOps principles and CI/CD pipelines. Technical requirements include experience with Large Language Models, Generative AI technologies, and infrastructure as code. This role solves complex problems in enterprise automation and AI governance, ensuring that all software artifacts meet rigorous standards for security, performance, reliability, and responsible AI practices within the corporate environment.

What does a Software Engineer earn in Ohio?

Median $136905 from 32 postings across 11 companies.

See salary data

Skills

Python Java Microsoft Azure Retrieval Augmented Generation (RAG) Large Language Models (LLMs) Generative AI RESTful APIs Microservices LangChain Semantic Kernel Azure OpenAI Azure AI Search Vector Databases Git CI/CD Infrastructure as Code Automated Testing DevOps

What you'll do

Design, develop, and support scalable software solutions for CorePointAI capabilities across the enterprise.
Build and maintain APIs, microservices, and cloud-native applications using modern engineering practices.
Develop integrations to support AI-powered, data-driven applications and enterprise automation initiatives.
Implement Retrieval Augmented Generation (RAG) solutions including document ingestion, embeddings, vector search, and prompt engineering.
Translate business requirements from various teams into technical solutions for the organization.
Participate in architecture reviews, technical design discussions, code reviews, testing, and deployment activities.
Drive adoption of DevOps, CI/CD, automated testing, and monitoring across the engineering lifecycle.
Ensure all software meets enterprise standards for security, scalability, performance, and responsible AI governance.

What we're looking for

Bachelor's degree or equivalent work experience.
Three to five years of relevant experience.
Proficiency in Java, Python, or similar object-oriented programming languages (preferred).
Experience building RESTful APIs, microservices architectures, and cloud-native solutions (preferred).
Expertise with Microsoft Azure for development, deployment, and operational support (preferred).
Experience designing RAG architectures including document processing, embeddings, and vector search (preferred).
Knowledge of LLMs, Generative AI technologies, and enterprise AI solution patterns (preferred).
Familiarity with DevOps, CI/CD pipelines, Git, Infrastructure as Code, and automated testing (preferred).

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