- GitHub Actions at scale: reusable workflows, composite actions, self-hosted runners, matrix builds, caching.
- GitHub Enterprise working knowledge: organization and repository configuration, rulesets and branch protection, GitHub Apps and fine-grained tokens.
- Building agentic developer workflows end to end — an agent that takes a defined input, changes code, runs validation and opens a pull request. GitHub Copilot coding agent, Copilot CLI, custom instructions and skills preferred; equivalent experience with other agent frameworks acceptable if the candidate is willing to work entirely in the GitHub toolchain.
- Designing guardrails and evaluating agent output quality — knowing when a generated change is secure to put in front of a reviewer.
- Build engineering across mixed technology stacks: able to get an unfamiliar build working, keep it working in CI, and reason about toolchain and dependency management in more than one ecosystem.
- Scripting: Python, plus Bash and/or PowerShell.

📌 Agentic AI Engineer (Maharashtra)
🏢 Vysystems
📍 Maharashtra