Build responsive web applications, internal tools, and landing pages primarily through AI coding tools such as Cursor, Lovable, Bolt, or v0.
Translate written briefs, feature requests, and client roadmaps into working, deployable software.
Prompt iteratively and refine AI-generated output to meet functional and design requirements.
Review, test, and debug AI-generated code to ensure it is correct, secure, and maintainable — not just “it ran once.”
Integrate front-end builds with the back-ends, agents, and retrieval services built by the Applied AI and Integration engineers so data and AI features flow end to end.
Recognize where vibecoding is the right tool and where a problem needs hand-written code or a teammate’s help, and escalate accordingly.
Deploy applications, gather feedback, and iterate quickly.
Document your work in Notion so others can pick it up.

Currently enrolled or recently graduated from a Master’s program in Computer Science, Software Engineering, Information Systems, or a related field. Master’s program enrollment or completion is mandatory.
Demonstrable, hands-on experience building applications with at least one major AI coding tool (Cursor, Lovable, Bolt, v0, Replit Agent, GitHub Copilot, or similar) — ideally shown through a portfolio, GitHub, or live demo links.
Strong prompting skills: the ability to break a build into clear steps and guide an AI tool to a working result.
Enough foundational coding literacy (JavaScript / React, HTML, CSS) to read, evaluate, and fix what the AI generates.
Comfort with Git and basic deployment workflows.
A bias toward shipping: you would rather build a working prototype than write a long document about it.
Excellent verbal and written communication skills within a cross-functional team environment. New graduates are encouraged to apply

AI Application Builder – Master-Level Internship

Key skills