Sahin Boydas
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Hiring Your First AI Engineer in Vertical SaaS: What You Need to Know

In SaaS companies today, the AI Engineer role is becoming important. I'll explain what this job involves, the skills needed, and why hiring your first AI Engineer can be a big step for your startup.

2024-04-135 min read560 words

In SaaS companies today, the AI Engineer role is becoming important. I'll explain what this job involves, the skills needed, and why hiring your first AI Engineer can be a big step for your startup.

Why Most Approaches Fail

Many common approaches to AI engineer hiring are flawed at the root.

The root cause is usually one of three things:

Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.

Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.

Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.

The Counterintuitive Truth

In AI engineer hiring, the best practitioners often do less, not more.

The lesson: your team matters more than your technology. It sounds simple. It's incredibly hard to execute.

What I Tell Founders

Before deciding anything about AI engineer hiring, start with three questions:

1

What's your timeline? Because the right approach for a company with 6 months of runway is very different from one with 3 years.

2

What have you already tried? Most founders have tried something. Understanding what didn't work is often more valuable than knowing what might.

3

Who on your team owns this? If the answer is "everyone" or "no one," that's your first problem to solve.

These questions seem simple but they reveal a lot about where a company actually stands.

This connects to broader themes around AI infrastructure costs, SaaS metrics, AI pricing models, serverless AI that I've been thinking about a lot lately.

Wrapping Up

I've shared a lot here, and I know it can feel overwhelming. But you don't need to get AI engineer hiring right on day one. You just need to get started and keep improving.

Founders who do well at AI engineer hiring tend to share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.

That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.

As always, I'm rooting for you.

FAQ

Frequently Asked Questions

Q:Do all experts agree with this view?

No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.

Q:How has this view evolved over time?

My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.

Q:What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

Q:How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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