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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 2 - CorePointAI - **Company:** U.S. Bank - **Location:** Denver, CO, United States - **Experience:** Experienced - **Salary:** $98,000.0 - $116,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, Microsoft Azure, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Database Applications, DevOps, Python (Programming Language), Object-Oriented Software Development, Search Technologies, Systems Integration, Enterprise Search, Enterprise Software Applications, Spring Cloud, Large Language Models, Prompt Engineering, Generative AI, Git, Infrastructure Automation Frameworks, Restful APIs, Microservices - **Published:** September 17, 2026 - **Apply:** https://www.builtincolorado.com/job/software-engineer-2-corepointai/11214521?handler=ApplyRedirect ## About the Role Bachelor's degree, or equivalent work experience - Three to five years of relevant experience Preferred Skills/Experience * Strong proficiency in Java, Python, or similar object-oriented programming languages with experience developing enterprise applications. * Hands-on experience building RESTful APIs, microservices architectures, and cloud-native solutions. * Expertise with Microsoft Azure, including development, deployment, and operational support of cloud-based applications. * Experience designing and supporting RAG architectures, including document processing, chunking strategies, embeddings, vector search, and prompt optimization. * Knowledge of Large Language Models (LLMs), Generative AI technologies, and enterprise AI solution patterns. * Strong understanding of DevOps, CI/CD pipelines, Git, Infrastructure as Code, and automated testing frameworks. * Experience with Azure OpenAI, Azure AI Search, Semantic Kernel, LangChain, or comparable AI frameworks and services. * Knowledge of vector databases, enterprise search platforms, AI security, model governance, responsible AI practices, and enterprise software delivery. ## Description Be an Early Applicant In-Office Denver, CO, USA 98K-116K Annually Mid level In-Office Denver, CO, USA 98K-116K Annually Mid level Develop and maintain scalable enterprise software supporting CorePointAI, including APIs, microservices, cloud-native applications, and AI-powered integrations. Design RAG solutions involving document ingestion, embeddings, vector search, and prompt engineering. Collaborate across product, engineering, data, and AI teams while participating in architecture, code reviews, testing, deployment, CI/CD, monitoring, security, scalability, and responsible AI governance. The summary above was generated by AI At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One., 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 DevOps principles. Essential Responsibilities: * Design, develop, and support scalable software solutions that enable CorePointAI capabilities across the enterprise. * Build and maintain APIs, microservices, and cloud-native applications utilizing modern software engineering practices. * Develop integrations that support AI-powered, data-driven applications and enterprise automation initiatives. * Design and implement Retrieval Augmented Generation (RAG) solutions, including document ingestion, embeddings, vector search, and prompt engineering. * Collaborate with Product Management, Engineering, Data, and AI teams to translate business requirements into technical solutions. * Participate in architecture reviews, technical design discussions, code reviews, testing, and deployment activities. * Drive adoption of DevOps, CI/CD, automated testing, monitoring, and operational excellence practices across the engineering lifecycle. * Ensure solutions meet enterprise standards for security, scalability, performance, reliability, and responsible AI governance. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Are Code Reviews Worth It? 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