What Companies Hire
AI Engineers?

From Big Tech to funded startups to Fortune 500 enterprises.
Learn which company types match your skills and accelerate your career.

Applying Everywhere.
Getting Nowhere.

You spray applications to every AI job posting but rarely hear back.

You don't know if your skills fit better at startups, Big Tech, or enterprise.

You waste months applying to companies that were never a good match.

Target the Right Companies for Your Skills

The World-Class AI Engineer Cohort

Different companies hire AI engineers for different reasons. FAANG wants research-oriented builders. Startups need generalists who ship fast. Enterprises want engineers who can modernize legacy systems. Understanding where you fit helps you focus applications and craft targeted pitches that actually land interviews.

1

Map the Landscape

Understand company types and what they look for

2

Match Your Profile

Identify which employers value your specific skills

3

Apply Strategically

Focus efforts where you have the highest success rate

Meet Your Mentor

Zen van Riel

My aim has been the same for years: become a world-class AI engineer. Every career move I've made has been measured against that.

I started as a software tester on a $500/month internship in the Netherlands. Taught myself to code, learned to ship real systems, and worked my way to Senior Engineer at GitHub.

Then I left GitHub. I joined an AI research lab as Member of Technical Staff, where I currently build products for secure AI monitoring.

The cohort draws directly from my real experience so you can make progress fast.

I run this special cohort with only a few people because hands-on work with me is what it takes to bring you to become a world-class AI engineer.

Career progression from Intern to Senior Engineer

Real Results

Vittor

Vittor

AI Engineer

Built and deployed his portfolio piece, then landed the AI role

"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.

I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."

What You Will Get

8 Weekly Tuesday Sessions

3 hours each for 24 live hours total.

Project Scoping at Kickoff

We set the scope of what you'll ship and the milestones to get there before the live sessions start.

Code Reviews

Reviews of your code from Zen during the cohort.

Lifetime Demo Access

Every architecture demo is recorded and yours to keep.

Demo Day

You present what you built and get feedback from Zen, with a recording you can use in your portfolio.

12 Months Community Access

Included with the cohort.

Stop Wasting Time on Poor-Fit Applications.

8
Weeks
6
Seats per Cohort
24
Live Hours with Zen

Frequently Asked Questions

What types of companies hire AI engineers?

Four main categories: (1) Big Tech like Google, Meta, Amazon, Microsoft, and OpenAI hire for cutting-edge research and infrastructure. (2) Funded AI startups need engineers who can build products fast. (3) Enterprise companies like banks, healthcare, and manufacturing want AI to modernize operations. (4) AI consultancies and agencies build solutions for multiple clients. Each has different requirements and tradeoffs.

Should I work at FAANG or a startup as an AI engineer?

Depends on your goals. FAANG offers prestige, high compensation, structured learning, and resume credibility. But you might work on narrow problems with slower pace. Startups offer broad exposure, faster growth, equity upside, and more ownership. But less stability and mentorship. Early career, startups often accelerate learning faster. Mid-career, FAANG can be a strategic move for credentials.

What AI startups are hiring in 2026?

Hot categories in 2026: AI agent companies building autonomous workflows, vertical AI startups solving industry-specific problems, AI infrastructure companies building developer tools, and AI security startups. Look for Series A to C companies with proven product-market fit. Check their tech blog, GitHub activity, and Glassdoor reviews. Avoid pre-product companies unless you want founding team risk.

Do traditional enterprises hire AI engineers?

Yes, and often with less competition. Banks, insurance companies, healthcare systems, manufacturing firms, and retailers are all building AI teams. They pay competitively and often have more work-life balance. The tradeoff: slower pace, more legacy systems, and less cutting-edge work. But if you can bridge AI with business problems, enterprise roles offer strong career paths.

Which companies hire remote AI engineers?

Many AI companies offer remote or hybrid in 2026. Fully remote friendly: Anthropic, Hugging Face, Scale AI, and many startups. Hybrid common at Google, Meta, Microsoft. Enterprise companies vary by team. For remote roles, strong async communication skills and demonstrated ability to ship independently matter more. Build a portfolio that proves you can work without constant supervision.

I've signed up for cohorts before and dropped out. How is this different?

It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.

I'm not pivoting careers. I want to build a product. Does this still work?

Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.

Do I need prior AI experience?

You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.

How much time will this take?

You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.

What does it cost?

It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.

Can I do this while working full-time?

Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.

I accept those who have the highest chance of success.

In the 30-minute call we discuss your goals and whether you are ready for the program.