Copilot Engineer AI with Amazon Q Job at Amtex Systems Inc in Atlanta

GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer

Onsite in Atlanta, GA

Travel: India (6 weeks) travel required (from December)

Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration. Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command. Advanced prompt engineering skills for both platforms. Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. Intermediate understanding of LLM fundamentals, AI ethics, and security practices. Strong problem‑solving mindset and diagnostic skills. Passion for generative AI and developer enablement (Think DevRel). Recent experience in: Java, Python, and/or Visual Studio Code.

6 openings. This is a unique position requiring hands‑on coding in both GitHub Copilot and Amazon Q, previous mentorship/training experience (paired programming, DevRel type work), and likely international travel (India as primary location).

This contractor opportunity is likely to include international travel for an extended period of time (potentially 4–6 weeks).

Key Responsibilities

• Design and deliver structured, hands‑on developer sprints focused on GitHub Copilot and Amazon Q.
• Facilitate live coding sessions, demonstrations, and collaborative labs.
• Mentor developers through real‑world challenges, providing guidance on prompt engineering, debugging, and feature implementation.
• Develop and maintain instructional materials, including curriculum, documentation, and best‑practice guides.
• Adapt instructional strategies based on participant feedback and learning progress.
• Promote responsible AI usage, including security, ethics, and data privacy considerations.
• Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration.
• Expert‑level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command.
• Advanced prompt engineering skills for both platforms.
• Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
• Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
• Strong problem‑solving mindset and diagnostic skills.
• Passion for generative AI and developer enablement.

Instructional & Communication Skills

• Advanced curriculum development and public speaking abilities.
• Expert‑level live coding and demonstration skills.
• Strong mentoring and facilitation capabilities.
• Intermediate technical‑writing skills for post‑sprint resources.

Technical & Development Skills

• Expert fluency with IDEs such as VS Code and JetBrains.
• Deep understanding of GitHub Flow, Agile practices, and version control.
• Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD).
• Strong grasp of testing and debugging strategies.

Preferred Qualifications

• Certifications in cloud platforms (e.g., AWS) or DevOps practices.
• Contributions to open‑source or developer communities.
• Patience, empathy, and adaptability in instructional settings.

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Consulting

Industries

• IT Services and IT Consulting