Not a sit-and-shadow internship. You ship code, design, or content to real users from week one — with direct mentorship from founders.
Jobingen is running an open hackathon — no resume screening, no shortlisting process. Participate, build Jobingen's AI-powered brand automation system, and the best performers walk away with a direct AI Engineer Intern offer (6–8 weeks, remote). Code is the only filter.
One common form for all roles — pick your role, apply once.
Build user-facing features shipped to thousands of students daily. You'll work directly in the production codebase from day one.
Design APIs and data pipelines that power Jobingen's job matching, resume parsing, and AI features.
Work on Vibe AI, resume tailoring, and job-matching models. You'll experiment with LLMs and ship AI features students use daily.
Win the Open Hackathon to unlock this role. Build Jobingen's AI-powered brand automation engine — daily pipeline generating on-brand social posts fully automatically.
Design screens, flows, and components that go directly into production. Real user testing, real feedback, real impact.
Write PRDs, shape the roadmap, and work directly with the founding team. Ideal if you want to understand what building a product really means.
Run campaigns, A/B tests, and SEO experiments to grow Jobingen's user base. You own channels end-to-end.
Own Jobingen's voice on LinkedIn and Instagram. Write career guides, company breakdowns, and newsletters that students actually read.
Manage candidate pipelines, coordinate interviews, and improve internal processes. Great for students interested in people & culture.
Not your average internship. We treat interns like early employees from day one.
Real experiences from people who built real things here.
I shipped a full AI resume tailoring feature in my first two weeks. Jobingen treats interns like actual engineers — no coffee runs, just real code.
The LOR I got from Jobingen's founders opened doors at three top startups. Best 3 months of my college life — I learned more here than in a semester.
I went from theory to production ML in week one. Built an embedding pipeline used by thousands of students. The scope here is unreal for a student.
Three simple steps. Takes less than 5 minutes.