What is this?
A data-driven field guide to AI engineering roles, skills, and interviews, built from thousands of real job descriptions, interview experiences, and practitioner stories instead of generic advice.
A data-driven field guide to AI engineering roles, skills, and interviews, built from thousands of real job descriptions, interview experiences, and practitioner stories instead of generic advice.Is this a tool I install, or a set of documents to read?It's a documentation repository - markdown guides, structured YAML job-description datasets, and a curated resource list - there's no software to run or install.
It's a documentation repository - markdown guides, structured YAML job-description datasets, and a curated resource list - there's no software to run or install.Where should I start reading?Start with the General Learning Path to see what to learn and in what order, or jump straight to Interview Preparation if you're prepping for a specific interview.
Start with the General Learning Path to see what to learn and in what order, or jump straight to Interview Preparation if you're prepping for a specific interview.Is the job market data broad, or from a narrow set of sources?All the job data comes from a single source, builtin.com, limited to six locations, so it reflects that platform's postings rather than the full global market.
All the job data comes from a single source, builtin.com, limited to six locations, so it reflects that platform's postings rather than the full global market.Who is this guide meant for?It's aimed at engineers transitioning into AI engineering - with dedicated transition paths from Data Engineer, Data Scientist, ML Engineer, Backend, and Frontend roles - plus anyone preparing for AI engineering interviews.
It's aimed at engineers transitioning into AI engineering - with dedicated transition paths from Data Engineer, Data Scientist, ML Engineer, Backend, and Frontend roles - plus anyone preparing for AI engineering interviews.How is the field guide organized?It's split into four main parts - The AI Engineer Role, Interview Preparation, Learning Paths, and Portfolio - plus raw job market datasets and an Awesome AI Engineering resource list.
It's split into four main parts - The AI Engineer Role, Interview Preparation, Learning Paths, and Portfolio - plus raw job market datasets and an Awesome AI Engineering resource list.What makes this different from a typical interview-prep guide?Every claim is backed by analysis of real data rather than opinion: thousands of job postings, 100+ GitHub take-home assignment repos, and interview breakdowns for 51 named companies.
Every claim is backed by analysis of real data rather than opinion: thousands of job postings, 100+ GitHub take-home assignment repos, and interview breakdowns for 51 named companies.Can I access the raw job posting data myself?Yes, the repo includes structured YAML job descriptions and the original raw extracted postings, grouped by scrape date and location.
Yes, the repo includes structured YAML job descriptions and the original raw extracted postings, grouped by scrape date and location.Is there a paid course to go along with this guide?The author runs a paid 9-week 'AI Engineering Buildcamp: From RAG to Agents' course and the 'AI Shipping Labs' community, alongside free recorded webinars on Maven.
The author runs a paid 9-week 'AI Engineering Buildcamp: From RAG to Agents' course and the 'AI Shipping Labs' community, alongside free recorded webinars on Maven.What are similar projects?Awsome-Front-End-learning-resource, ai-engineering-interview-questions-company-wise, llm_interview_note, machine-learning-interview, ai-system-design, Prompt-Engineering-Guide, fe-interview, SDE-Interview-and-Prep-Roadmap
Awsome-Front-End-learning-resource, ai-engineering-interview-questions-company-wise, llm_interview_note, machine-learning-interview, ai-system-design, Prompt-Engineering-Guide, fe-interview, SDE-Interview-and-Prep-RoadmapWhich topics is it in?job-search, yaml, interview, interview-preparation, career, knowledge-base, rag, guide, learning-resources, agents, html, awesome-list
job-search, yaml, interview, interview-preparation, career, knowledge-base, rag, guide, learning-resources, agents, html, awesome-list