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Java Fullstack with GitHub Copilot

Makonis
Department:Fullstack React
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$120,000 - $160,000
Skills:
JAVAREACTGITHUB COPILOTAI TOOLSPROMPT ENGINEERINGFULLSTACK DEVELOPMENTCODE AUTOMATIONSOFTWARE DEVELOPMENT
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Job Description

Posted on: November 15, 2025

We are looking for a Full Stack Developer (Java + React) who can accelerate software delivery using AI tools like GitHub Copilot and modern development practices.

Strong programmer with AI development tools hands-on knowledge — who can create reusable AI prompts, standardize intelligent code generation, and improve code quality through automation.

  • GitHub Copilot (Chat + Agent modes) for coding automation and refactoring.
  • Deep understanding of prompt engineering for software development.
  • Awareness of AI lifecycle in coding environments—training, tuning, and prompting patterns.
  • Knowledge of autonomous coding workflows (Copilot agent mode) and context-aware prompts.

Establishing GitHub Copilot readiness and agentic foundations, including org-wide configuration (policies, IDE extensions, seat management)

Defining and implementing acceptable-use and data-boundary policies for AI assistants

Optimizing repository hygiene and code context (README, documentation, templates) to enhance AI support and guidance

Creating prompt patterns and workflow templates to standardize AI interactions

Instrumenting telemetry and monitoring to measure Copilot effectiveness, safety, and compliance

Delivering a small agentic proof-of-concept, focused on orchestrating tasks with robust guardrails, as a foundation for future automation solutions

Ideal Profile:

Senior Full Stack developers (not MLEs) with hands-on experience using and configuring AI development tools (e.g., GitHub Copilot)

Strong track record in developing standardized code templates, documentation, and workflows for team-wide adoption

Experience in defining and operationalizing technical policies for AI and code automation

Capable of self-organizing, managing deliverables independently, and collaborating with minimal supervision

Ability to deliver reusable assets that boost developer productivity, code quality, and onboarding efficiency

Objectives:

Improve developer productivity and reduce PR cycle times

Ensure safe, compliant use of AI assistants through clear policies and monitoring

Enhance code quality and consistency via standardized templates and guidance

Accelerate onboarding for new developers by leveraging reusable prompt and workflow patterns

Deliver foundational assets to support agentic automation pilots in 2026, mitigating implementation risk

Please ensure proposed candidates match the seniority, AI developer experience, and self-directed working style described above.

Originally posted on LinkedIn

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