Skilledge is building a cloud-based LMS + LXP platform — structured learning, learner engagement, assessments, content delivery, live sessions, and hands-on cloud labs, all in one place.
We're looking for an engineering intern who can move across frontend, backend, and cloud systems, and who knows how to use AI coding tools responsibly — not just prompt and paste, but verify, understand, and test what comes out.
What you'll work on: → Implementing product features → Debugging APIs → Updating dashboards → Supporting cloud lab workflows → Writing tests and inspecting logs → Maintaining technical documentation
You'll use AI tools daily, but you'll own the code — verifying output, understanding what it does, and testing changes carefully before they ship.
What we're looking for:
✅ Strong JavaScript fundamentals ✅ Basic Node.js knowledge ✅ Comfort with HTML/CSS ✅ Practical debugging skills ✅ Hands-on experience with AI coding tools (ChatGPT, Codex, Cursor, Claude, Cline, or similar) — mandatory ➕ Firebase, Google Cloud, Kubernetes, dashboards, or analytics experience is a solid plus
Requirements
1+ years of engineering experience (internships with meaningful contribution to an active project count)
Bachelor's degree (must)
This is the right role if you want to grow into a full-stack product engineer with real cloud and AI-assisted development experience — not just theory.