AI Engineer / Trainer - Github Copilot & Amazon Q

AI Engineer / Trainer

Skills: Github Copilot, Amazon Q

Remote + Travel required

6+ Months Contract position

Timing: 9 AM to 6 PM or 2 PM to 11 PM IST based on the client needs

GitHub Copilot → handles coding-style training

Amazon Q → handles AWS training and troubleshooting

A shared VS Code workspace → where both run side-by-side

Add markdown lessons or Jupyter notebooks as training modules

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.

Required Skills & Proficiencies

• 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

• Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java.
• 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.