The Simple AI Engineer Project To Win Jobs

⚡ Become a high-paid AI Engineer: https://aiengineer.community/join Most engineers build their portfolio technology-first. They pick a React chatbot or a multi-agent app and end up with loosely connected pet projects that every bootcamp graduate already has. The project that gets you hired solves a real problem someone would use in the real world, and you can explain it end-to-end in the interview. In this video I break down the portfolio strategy that got my students Ansar and Jason into high-paid AI roles, and I walk through Jason's open source Codojo project as a real example. What You'll Learn - Why a technology-first portfolio makes you blend in with every bootcamp graduate - The mindset shift from loosely connected pet projects to projects that solve a real problem - How an experienced developer should build on their domain (a HIPAA-compliant healthcare tool, not a vibe-coded trading bot) - What new grads without domain expertise should build instead (solve a problem you face yourself) - Why a simple RAG project you can explain beats a fancy multi-agent app you cannot - A full walkthrough of Codojo: an open source Claude Code project that constrains Claude to teach instead of doing everything for you - How Codojo uses prompt engineering and Claude Code hooks to track your learning progress - The kind of project that gets you an instant rejection in a technical interview Timestamps 0:00 The best project to land an AI engineering job 0:27 The portfolio mindset shift 1:23 Experienced devs: the healthcare example 2:51 New grads: solve a problem you face yourself 3:44 Where most people get stuck 4:21 Why Jason built Codojo 5:27 Codojo demo: initializing and onboarding 7:03 How Codojo works: prompts and hooks 7:26 The principle: solve a real problem, not complexity 9:06 What gets you rejected in an interview 9:41 Build a portfolio that gets you hired Why I Made This Video Students keep asking me the same question: what is the best project to build to land an AI