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AI-Native Full-Stack Engineer -- Onsite -- Only W2 Profiles

Trebecon LLCMinneapolis, MN🇺🇸United StatesPosted 9 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Minneapolis, MN, United States
Posted
Yesterday
DockerMySQLOracleSpringSpring BootAWSScrumAgileAngularAzureCSSGoogle CloudHTMLJavaJavaScriptKubernetesPostgreSQLRESTReactTypeScript

Job Description

Role : Senior AI-Native Full-Stack Engineer
Location: Minnesota – Local Candidates Only



Job Overview:
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
Key Responsibilities:
  • Develop end-to-end full-stack applications using AI-native development practices
  • Work directly with business stakeholders to understand requirements and build prototypes
  • Create specifications and AI-executable tasks
  • Review, test, and improve AI-generated code
  • Manage delivery from discovery through production
  • Support Agile ceremonies, demos, releases, and production deployments
  • Develop reusable prompts, specifications, instructions, and testing patterns
 

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