We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI. This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below. 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.