Stop Watching Tutorials - Build These 6 AI Projects to Get Hired

Most people building AI projects right now are unknowingly lowering their chances of getting hired. They follow tutorials, build chatbots, clone existing apps… and wonder why no recruiter responds. But hiring teams in 2026 aren’t looking for “AI users.” They’re looking for engineers who understand how AI systems actually work under the hood. In this video, I break down 6 AI projects that actually matter - the kind of projects that signal real engineering skill, system design thinking, and production-level understanding. Here’s what I cover 👇 ✅ Why most AI projects are useless for getting hired ✅ What an MCP (Model Context Protocol) server is and why it matters ✅ Building offline AI apps for privacy-first use cases ✅ How to design a RAG pipeline with proper evaluation + telemetry ✅ Why most multi-agent systems fail (and how to build them right) ✅ Building real-time voice AI applications ✅ When fine-tuning actually makes sense (and when it doesn’t) ✅ How to think like an engineer, not just an AI tool user 👋 about me I’m Maddy, a senior software engineer (prev. at Google), with prior internships at Microsoft, Morgan Stanley, IBM, and Amazon. Sharing my journey here - thanks for watching 🤍 🔗find me on other socials Instagram   / madeline.m.zhang   LinkedIn   / madelinemzhang   Tiktok   / madeline.m.zhang   Timestamps 0:00 Why Most AI Projects Fails 0:55 Project 1 2:00 Project 2 3:31 Project 3 5:17 Project 4 6:48 Project 5 8:09 Project 6 🔔 Subscribe for more AI, software engineering, and career growth content! disclaimer: views are all my own and do not represent any current / past employer(s) #ai #aiprojects #artificialintelligence #machinelearning #llm #generativeai #softwareengineering #developers #programming #coding #developerlife #aiagents #rag #finetuning #mcp #agenticai #techcareer #codingprojects #portfolio #largelanguagemodels #mlengineering #aiengineering #datascience #backend #systemdesign