AI Engineering Career

The technical pages of this wiki make you capable; this page is about being considered. The material covers the whole application funnel, and it is unusually honest about it: one workshop is literally a hiring manager explaining his own interview.

Choosing what to build

Selecting a Portfolio Project replaces grab-a-technology-and-bolt-on-a-demo with a framework: pick a domain, find target companies, read their job descriptions and blogs, extract the shared problems, cluster them into themes, and only then pick the project and the technology. The buildcamp capstone — see AI Engineering Buildcamp — is where most members execute it.

Solving an AI Engineer Home Assignment: Investment Coach Bot is a full take-home assignment done live — scoping, SEC data, tests, an evaluation harness, and a Telegram bot, in two hours with a coding agent. The take-home round has its own page: Take-Home Assignments.

The CV

Tailoring Your CV for AI Engineering Roles turns the CV into a pipeline: a YAML source, a renderer, positioning first, then domain tailoring, then per-job tailoring from real job descriptions. The session's corrections get distilled into a playbook and shipped as a coding agent skill, so the pipeline runs on every application.

Visibility

Personal Brand for Developers is a 30-day posting challenge built on a weekly workflow: collect notes, pick three ideas, draft with AI, edit against post anatomy. The mindset part comes first, because the blocker is not the writing.

Interviews

What to Expect in an AI Engineering Hiring Manager Interview breaks down the hour after the recruiter screen: the project deep dive where every claim creates a follow-up question, the fundamentals-only coding task, and how to show you handle unfamiliar work. Preparation spend belongs on the deep dive. The dedicated page on this is Interview Prep, including the theory question bank.

The market data behind the role: What Is an AI Engineer? Based on 1,000+ Job Descriptions and the AI Engineer Learning Path. The research has since grown into the AI Engineering Field Guide, which tracks the market monthly across 6,964 job descriptions: three role types under one title, evaluation skills explicitly required by 59.7% of AI-First roles, and the integrator stack rising while the trainer stack falls. The wiki carries its sections as records: the role, by the numbers, the interview funnel, the five career-transition paths, the webinar Q&As, and the market tables — the last backed by the per-page market-wiki cards: skills, use cases, industries, companies and locations, and trends.

Community structure

Sprints give the above a calendar: AI Shipping Labs Sprint 2 Starts Today describes six-week cycles with personal plans and weekly milestones. If you are funding a buildcamp seat, How to Join AI Engineering Buildcamp covers L&D budgets, team discounts, PPP pricing, and scholarships.

Where to go next

• What to build and how it reads to interviewers: Portfolio Projects
• The interview itself: Interview Prep
• The skills these materials advertise: AI Engineering Roadmap
• The role itself: AI Engineering
• The market that hires for it: Field Guide: The Role