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# Full Stack Engineer - AI Native Development

- **Company:** Trebecon LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Automation of Tests, Microsoft Azure, Cascading Style Sheets (CSS), Continuous Integration, Data Security, PostgreSQL, MySQL, Oracle (Applications), Scrum Methodology, Rapid Prototyping Process, Software Engineering, Verification and Validation (Software), TypeScript, Google Cloud, GitHub Copilot, ReactJS, Multi-Agent Systems, Spring-boot, AngularJS, Kubernetes, Cosmos DB, Restful APIs, Es2015, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/d6d3d089-5f30-40a5-8f5a-15a86d660c2a

## About the Role

* 7+ years professional software engineering / delivery experience
 * 4+ years full-stack application development
 * Strong experience building modern UX, delivering features end-to-end
 * Production experience with AI coding agents: Codex, GitHub Copilot, Claude Code, or comparable
 * AI-first development mindset - able to create specs, provide effective context to AI agents, decompose work, review AI-generated output, redirect agents when incomplete
 * Strong experience with React, Angular, or comparable frameworks
 * Proficiency: JavaScript ES6+, TypeScript, HTML, CSS
 * Middle-tier services: REST APIs, application integration, data access, service orchestration
 * Familiarity with Java 17+, Spring Boot or comparable middle-tier tech
 * Databases: PostgreSQL, MySQL, Oracle, Cosmos DB
 * Cloud: Azure, AWS, or Google Cloud Platform
 * Automated CI/CD delivery
 * 5+ years Agile/Scrum delivery experience
 * Ability to translate business outcomes into user stories, acceptance criteria, specs, and AI-executable tasks
 * Strong stakeholder communication, facilitation, demo, and problem-solving skills
 * Ability to validate AI-generated solutions for functionality, security, performance, maintainability, architectural fit

Preferred Skills & Attributes

 * Experience with specification-driven/agentic delivery methods (Spec Kit, BMAD, reusable agent instructions, multi-agent workflows)
 * Rapid prototyping & stakeholder feedback incorporation
 * Docker, Kubernetes, automated testing, observability, production support
 * Enterprise-scale or regulated environment experience
 * Familiarity with secure/responsible enterprise AI usage

## Description

1. Full-Stack Development - UIs, middle-tier services, integrations, data access, tests, documentation, deployment assets
 2. Forward-Deployed Engineer (Mini-FDE) - discover business needs, build prototypes, demo solutions, gather feedback, support adoption
 3. Agile Delivery - own delivery from discovery to production: refinement, planning, specs, incremental delivery, demos, release support
 4. AI-Generated Software Validation - review/correct AI output; ensure enterprise quality, security, accessibility, maintainability
 5. Improve AIDLC Operating Model - build reusable specs, prompts, instructions, test patterns, context files, delivery practices


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