AI-Native Full-Stack Engineer

Trebecon LLC

Minneapolis, United States

16 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+14 more

Oracle (Applications) Scrum Methodology Software Engineering Systems Integration TypeScript Google Cloud GitHub Copilot ReactJS Spring-boot AngularJS Kubernetes Cosmos DB Restful APIs Docker

Requirements

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 * 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 * Automated testing and observability * Production support experience * Enterprise or regulated-environment experience