Download
AI Engineering Field Guide is an open-source, research-based career resource that explains the skills, responsibilities, and hiring expectations associated with AI engineering. It analyzes thousands of real job descriptions to identify commonly requested technologies and professional competencies. The guide compares AI engineering with machine learning, data science, backend development, and related roles. It provides interview preparation materials covering programming, AI system design, language models, retrieval-augmented generation, and autonomous agents. Readers can examine real take-home assignments, technical questions, and company-specific hiring practices. Structured learning paths help professionals transition into AI engineering from different backgrounds. Additional resources cover portfolio development, job market trends, and salary negotiation. The project emphasizes evidence-based career preparation.
Features
- Data-Driven AI Engineering Job Market Research
- Technical and Behavioral Interview Preparation
- Real-World Take-Home Coding Assignments
- AI System Design and LLM Interview Questions
- Role-Specific Learning and Career Transition Paths
- Portfolio Strategy and Hiring Process Guidance
Project Samples
