// learn · job-seekers
Build a portfolio, pass the interview
Two things earn AI engineering offers: projects you can defend and answers you can back up. This on-ramp is the shortest line from where you are to an interview you're ready for.
This path is built around two guides: 5 AI projects that get you hired and AI engineer interview questions.
You bring more than you think. Turn what you already have into proof a hiring team can see.
What you have
You can already write and ship code
What you'll build with it
Portfolio projects that prove you can build real AI systems, not just call an API once.
What you have
You've designed features and systems
What you'll build with it
Architecture diagrams and READMEs you can defend under interview questions.
What you have
You can learn a new stack quickly
What you'll build with it
A question bank and system-design reps that make the interview feel familiar.
What you have
You research before you commit
What you'll build with it
A clear picture of AI roles and salary ranges so you target the right openings.
Work these in order. Every link is free to read.
- 01The AI Engineer Roadmap
The six-stage path from concept to offer — your study-plan skeleton.
- 02Portfolio projects
Pick a production-shaped build and ship it — architecture and interview notes included.
- 03Interview prep
Work the role map, question bank, and system-design drills.
- 04AI engineer salary guide
Know the roles and pay ranges so you target and negotiate well.
Build the portfolio, then walk into the interview ready.
Production AI Notes
One practical AI engineering email each week
One concept, one architecture, one project idea, and one interview question — written for developers who want to build and ship real AI systems.