Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. They are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features to design and deliver structured hands-on developer sprints centered around AI.
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
Requirements:
- 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
- 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
- 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
- Certifications in cloud platforms (e.g., AWS) or DevOps practices
- Contributions to open-source or developer communities
- Patience, empathy, and adaptability in instructional settings