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# AI-Native Full-Stack Engineer

- **Company:** Trebecon LLC
- **Location:** Minneapolis, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cascading Style Sheets (CSS), Databases, Continuous Integration, PostgreSQL, MySQL, Oracle (Applications), Scrum Methodology, Software Engineering, Systems Integration, TypeScript, Google Cloud, GitHub Copilot, ReactJS, Spring-boot, AngularJS, Kubernetes, Cosmos DB, Restful APIs, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/0e9ba1b4-f164-41e2-a3d7-a248d31d0d9f

## About the Role

Looking for a Senior AI-Native Full-Stack Engineer with strong experience in modern full-stack development and AI-powered coding tools. The candidate should be comfortable using tools like Codex, GitHub Copilot, Claude Code, or similar AI coding agents to build, test, document, and deliver production applications.

Strong AI coding/agent experience is required

Required Skills:
*
7+ years of software engineering experience
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4+ years of full-stack development experience
*
Strong React / Angular experience
*
Strong JavaScript, TypeScript, HTML, CSS
*
Experience with REST APIs, integrations, and middle-tier services
*
Java 17+ / Spring Boot experience preferred
*
Experience with PostgreSQL, MySQL, Oracle, Cosmos DB, or similar databases
*
Experience with Azure, AWS, or Google Cloud Platform
*
Strong CI/CD and Agile/Scrum experience
*
Hands-on experience with AI coding tools such as Codex, GitHub Copilot, Claude Code, or similar
*
Ability to review and validate AI-generated code for security, performance, functionality, and maintainability
*
Strong stakeholder communication and problem-solving skills
*
Experience converting business requirements into user stories, specifications, acceptance criteria, and technical solutions

Preferred:
*
Spec Kit / BMAD / agentic development workflows
*
Docker / Kubernetes
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Automated testing and observability
*
Production support experience
*
Enterprise or regulated-environment experience



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