AI Projects That Actually Get You Hired in 2026 (Most Devs Build the Wrong Ones) скачать в хорошем качестве

AI Projects That Actually Get You Hired in 2026 (Most Devs Build the Wrong Ones)

Everyone is building the same AI chatbot. The same PDF Q&A app. The same OpenAI API wrapper with a React frontend. And hiring managers have seen 40 of them before lunch. These are the 5 AI projects I would build right now if I was trying to break into a top-tier engineering role , and I'm going to tell you exactly why each one works, both technically and strategically. No basic CRUD apps. No GPT wrappers. No fluff. ────────────────────────────────────────── TOOLS & FRAMEWORKS MENTIONED ────────────────────────────────────────── → LangGraph (multi-agent orchestration): https://langchain-ai.github.io/langgr... → LlamaIndex (RAG pipelines): https://www.llamaindex.ai/ → RAGAS (RAG evaluation): https://docs.ragas.io/ → Ollama (run LLMs locally): https://ollama.com/ → Qdrant (vector database): https://qdrant.tech/ → llama.cpp (GGUF inference): https://github.com/ggerganov/llama.cpp → Hugging Face (models + cross-encoders): https://huggingface.co/ ────────────────────────────────────────── WHAT YOU'LL LEARN ────────────────────────────────────────── ✔ Why "I built a chatbot" is actively hurting your resume in 2026 ✔ The exact 3 questions every hiring manager asks when looking at your GitHub ✔ How to build a stateful multi-agent system using LangGraph , not just chained prompts, actual conditional graph-based control flow ✔ What RAGAS is and how to use it to prove your RAG pipeline actually improved (context precision 0.61 → 0.84 , this is the kind of number that stops a recruiter mid-scroll) ✔ The difference between Q4_K_M and Q8_0 quantization and why it matters for edge deployment , a level of ML systems knowledge most bootcamp grads genuinely don't have ✔ Why building developer tooling is one of the highest-leverage resume moves you can make ✔ How to get real users on your project , and why "1,200 users, 340 pieces of feedback, iterated 3x" is worth more than any GitHub star count ✔ The exact README structure that makes senior engineers actually read your project (hint: the "Technical Decisions" section is the secret weapon) ✔ Before vs. after resume bullets , the difference between "built a chatbot with Python and OpenAI" and something that actually gets you an interview ────────────────────────────────────────── WHO THIS IS FOR ────────────────────────────────────────── → Final-year CS / engineering students applying for 2026 SWE roles → New grads who have AI projects on their resume but aren't getting callbacks → Self-taught developers trying to break into ML engineering or AI infrastructure roles → Anyone who wants to build something real instead of following another tutorial ────────────────────────────────────────── WHO THIS IS NOT FOR ────────────────────────────────────────── → People looking for "AI project ideas for beginners" (these are genuinely hard to build , that's the whole point) → People who want to watch a coding tutorial (this is strategy + architecture + career advice, not a step-by-step build) ────────────────────────────────────────── THE TLDR IF YOU WON'T WATCH ────────────────────────────────────────── 01 — Multi-Agent Orchestration System (LangGraph + GitHub API + Docker) 02 — Production RAG Pipeline with Evaluation Layer (RAGAS + hybrid retrieval) 03 — Local LLM Deployment on Edge Hardware (Ollama + llama.cpp + GGUF quant) 04 — AI-Powered Code Review CLI (Python + Pydantic structured outputs + GH Actions) 05 — Multimodal AI App with Real Users (GPT-4o Vision + vision classifier routing) Pick ONE. Open your editor. Write the first file. That's it. That's the whole advice. ────────────────────────────────────────── SUBSCRIBE ────────────────────────────────────────── I make videos about shipping real code, building indie SaaS products, and building an engineering career that actually pays. No fluff. No tutorial regurgitation. Just what actually works. New video every week. ────────────────────────────────────────── #AIProjects #SoftwareEngineering #TechResume #MachineLearning #LangGraph #RAG #LocalLLM #AIEngineering #MLEngineering #SoftwareEngineeringJobs #TechCareers #AIProjectIdeas #ResumeProjects #ComputerScience #ProgrammingProjects2026