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Responsibilities:

  • Design and deliver hands-on AI training across Development, QA, and DevOps.
  • Own and continuously evolve the training curriculum to ensure it remains up to date.
  • Review trainees' submitted code and exercises, providing direct, practical feedback.

Requirements:

  • 6–9 years of hands-on software engineering experience across the full SDLC.
  • 2+ years of daily hands-on use of AI coding tools such as Claude Code or GitHub Copilot.
  • 1+ year of hands-on experience with AI-assisted test automation.

Nice to Have:

  • 6–12 months of hands-on experience with MCP servers and agent-based workflow automation.
  • 1+ year of curriculum or training content development experience.
  • 2+ years of DevOps auto-deployment or infrastructure automation experience.

Smart Working

Smart Working connects skilled professionals with global teams for full-time remote roles, breaking down geographic barriers. They are a highly-rated workplace on Glassdoor that values employee growth and well-being.

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