AI-forward Software Engineer
AI-forward Software Engineer
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Job Description
Job Title- AI-forward Software Engineer
Project Location (Remote international travel) (expenses paid by client for the international travel)
Duration- 6 months contract
Visa- USC/ GC/ GCEAD/ H4EAD
Must have Valid LinkedIn profile.
Job Description-: This is a unique position as itll require hands-on coding in BOTH GitHub Copilot AND Amazon Q previous mentorship/training experience (think: paired programming or DevRel type work) and will very likely require international travel (India is confirmed as a primary location possibly Europe and South America).
These individuals will be supporting 50 engineers over 2-week sprints. for a total of 30 weeks. The rotation work schedule and travel plans are all up in the air so we need to talk to contractors thatll be flexible.
GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer (Remote international travel)
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 Qs /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.
Employment Type
Full-time
