Best AI Engineer Traits
What Separates Good from Great

The best AI engineers share specific traits that set them apart.
Learn what they do differently and how to develop those same abilities.

Technical Skills Alone
Will Not Make You Stand Out.

You have the technical knowledge but struggle to ship production systems that drive business results.

You can build models but lack the business acumen to identify what problems actually matter.

You work hard but feel stuck at the same level while others advance faster.

Learn How the Best AI Engineers Think and Work.

The World-Class AI Engineer Cohort

Top AI engineers combine deep technical skills with business understanding, clear communication, and relentless focus on shipping. These traits can be developed with the right guidance and deliberate practice.

1

Identify Your Gaps

Assess where you fall short compared to top performers

2

Build the Right Habits

Adopt the practices and mindsets that drive excellence

3

Get Expert Feedback

Accelerate growth with coaching modeled on how the best work

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.

Every Year at the Same Level Is a Year of Unrealized Potential

8
Weeks
6
Seats per Cohort
24
Live Hours with Zen

Frequently Asked Questions

What traits do the best AI engineers have in common?

The best AI engineers share several key traits. First, they have deep technical skills but know when to apply them. They do not over-engineer solutions. Second, they understand business context and focus on problems that drive real value. Third, they communicate complex ideas clearly to technical and non-technical stakeholders. Fourth, they ship consistently. They prioritize working systems over perfect systems. Fifth, they learn continuously but strategically, focusing on skills that compound. These traits can all be developed with deliberate practice and guidance.

How can I develop the traits of top AI engineers?

Start by working on real problems, not just tutorials. Build projects that solve actual business needs. Practice explaining your work to non-technical people regularly. Set aggressive deadlines to force shipping over perfecting. Find mentors who exemplify these traits and observe how they make decisions. Get feedback on your code, communication, and prioritization. Track what top engineers in your field are building and learning. Join communities where excellence is the standard. Consider coaching to accelerate development of these traits with structured guidance and accountability.

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.

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.

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.

Why do the best AI engineers focus so much on shipping?

Shipping is where learning happens fastest. A deployed system teaches you more than months of planning. The best AI engineers know that real feedback only comes from production. They build iteratively, release early, and improve based on data. They resist the urge to perfect before shipping. This bias toward action compounds over time. Engineers who ship frequently build intuition, credibility, and impact faster than those who optimize in isolation. If you want to become a top AI engineer, make shipping your default.

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.