$300K AI Interview Project Explained 👀

How do you get a $300K/year AI engineering job? In this video, I walk you through the exact interview project I completed for a real AI Engineering Lead role — including how I scraped data, built a multi-agent DAG workflow, set up RAG, created evals, and tested the final agent. If you're a software engineer preparing for AI roles, this breakdown will show you the real skills companies expect in 2025 and how modern AI systems are actually built. 🔥 What You’ll Learn How a real $300K AI engineering interview project works How to scrape and clean website data for AI applications How RAG (Retrieval Augmented Generation) actually works How to build an agentic workflow using a DAG (LangGraph) Why evals matter for every agent in your pipeline How companies like Fleetworks (and other funded startups) use DAGs to power their AI platforms The exact tech stack I used: Firecrawl, MongoDB, LangGraph, vector embeddings, and more 💡 Why This Matters Companies raising money right now are all building on top of agentic workflows, DAGs, and RAG systems. github: github.com/msylvester/privateRAG linkedin: https://www.linkedin.com/in/msylvest55/ If you understand these patterns, you dramatically increase your odds of landing high-paying AI engineering roles. This video gives you a real-world example from an actual job process — not theory. 📌 Want the full deep dive on any part of this project? Drop a comment and I’ll break it down in a separate video (RAG, scraping, evals, DAGs, LangGraph, or multi-agent design). ⏱️ Timestamps (Optional — Add after upload) 00:00 – Intro 00:15 – The $300K AI job 00:45 – What the final interview project required 01:30 – Understanding DAGs + agentic workflows 02:10 – Scraping the site (Firecrawl) 03:00 – RAG architecture + vector DB 03:40 – Building evals 04:20 – Final test & results 04:55 – Why tracking funded companies matters github: /github.com/msylvester/privateRAG firecrawl: firecrawl.dev/ twitch: twitch.tv/krystal_mess323 linkedin: linkedin.com/in/msylvest55/ ⁨@MongoDB⁩ superdial: superdial.com/blog/we-just-raised-15m-to-automate-healthcares-endless-phone-calls fleetworks: fleetworks.ai #openai #anthropic #suno #fyp #viral #viralvideo #viralcode #samaltman #aiengineering #aiengineering #softwareengineering #careers #rage #multiagent #langgraph #graphtheory #llm #machinelearning #aijobs #techcareers #aiproject #webscraping #vectordatabases #mongodb #firecrawl #agenticAI #artificialintelligence #opensourceai ⁨ ⁨@FireCrawl⁩ ⁨@Firecrawl_dev⁩