Key Responsibilities
AI Tool Integration : Champion the pragmatic use of AI tools (e.g., GitHub Copilot) across various development teams.
Use Case Simulation : Design and simulate realistic use cases to demonstrate the value of AI tools in different tech stacks.
Developer Support : Act as a technical advisor to developers using Python, Node.js / Angular, and Java (Spring / Maven) environments.
Workflow Optimization : Support the adoption of GitHub Actions and other GitHub-native workflows to streamline CI / CD processes with AI.
Community Enablement : Create documentation, demos, and best practices to help developers get the most out of AI tools.
Feedback Loop : Gather feedback from developers to continuously improve AI tool usage and identify new opportunities.
Required Skills & Experience
Strong programming experience in Python , Java (Spring / Maven) , and JavaScript / TypeScript (Node.js, Angular) .
Solid understanding of GitHub workflows , including GitHub Actions and GitHub Copilot.
Hands-on experience with Azure AI Studio and building or supporting RAG applications is a plus
Experience with AI / ML tools or platforms, ideally in a developer productivity context.
Ability to simulate and prototype real-world development scenarios.
Excellent communication skills and a collaborative mindset.
Ai Engineer • Delhi, India