What Should You Look for When Hiring an AI Developer?

Artificial intelligence is becoming easier to buy. Good AI architecture is not.

Today, almost anyone can connect an API to a frontier model and call themselves an AI developer. The real question isn’t whether someone can integrate AI into your business.

It’s whether they know how to build AI that thinks like your business operates.

The difference can determine whether AI becomes your greatest competitive advantage — or just another monthly subscription.

Don’t Hire Someone Who Knows AI. Hire Someone Who ALSO Understands Business.

This might sound strange coming from someone who enjoys building AI systems, but the technology is actually the least important part.

The first thing I want to understand isn’t: “Which model do you want?”

It’s: “How does your business make money?”

Because every business has bottlenecks. An electrician doesn’t make money answering emails. A massage therapist doesn’t make money scheduling appointments. A lawyer doesn’t make money chasing invoices.

If AI isn’t freeing up those bottlenecks, then it’s solving the wrong problem.

The First Red Flag

If the first thing an AI developer wants to talk about is which model is the smartest, keep looking.

The conversation should begin with questions like:

• Where does your team waste the most time?
• What repetitive tasks happen every day?
• Which mistakes cost you the most money?
• Where do customers get frustrated?
• What processes happen in the same order every single week?

Those answers determine the AI architecture. Not the other way around.

Creativity Matters More Than Coding

Many developers know how to write code. Fewer know how to redesign a workflow.

The best AI developers think like systems architects. They see a business almost like a city:

• Traffic
• Departments
• Communication
• Bottlenecks
• Information flow

Their first instinct isn’t to automate one task. It’s to redesign how information moves through the entire organization.

That’s creativity.

Ask Them One Question

Here’s the interview question I’d ask every AI developer:

“If you couldn’t use a frontier cloud-based model, how would you solve this problem?”

Most people panic.

Great AI developers start drawing systems. They begin talking about specialized agents, verification, memory, decision trees, workflow automation, fallback plans, human-in-the-loop approvals.

They’re thinking about architecture — not brands.

Beware the “One AI Does Everything” Pitch

This is probably my biggest warning.

If someone tells you they’ll build one giant AI assistant that handles your entire business… they’re probably building a demo. Not a business.

No successful company operates with one employee doing every job. Why should your AI? Marketing should have different priorities than accounting. Scheduling has different requirements than customer service. Inventory has different goals than sales.

Your AI should reflect that.

Your AI Should Mirror Your Company

When I design orchestration systems, I think in departments. Imagine your AI workforce:

• Reception
• Marketing
• Sales
• Inventory
• Customer Support
• Research
• Scheduling
• Bookkeeping

Each department has one responsibility. Each becomes incredibly good at that responsibility.

Above them sits one larger reasoning engine acting like an operations manager. Its job isn’t to answer every email. Its job is to coordinate everyone else.

That’s far more scalable than asking one model to juggle every responsibility simultaneously.

They Should Talk About Return on Investment

A good AI developer shouldn’t be obsessed with intelligence. They should be obsessed with efficiency.

Every AI decision has a cost. Every API call. Every token. Every inference.

If your developer never mentions compute costs, hardware limitations, token usage, or return on investment, they’re probably building something impressive — not necessarily something sustainable.

Small businesses don’t need the biggest AI. They need the smartest architecture.

Customization Is Everything

Every plumber works differently. Every law office has different intake procedures. Every massage practice schedules clients differently. And every accounting firm has unique review processes.

So why would every business receive the exact same AI assistant?

The best AI developers customize around your existing workflow instead of forcing you to adopt theirs. Technology should adapt to the business. Not the other way around.

What I Believe Great AI Developers Actually Build

I don’t think the future belongs to developers who build smarter chatbots. I think it belongs to developers who quietly eliminate friction throughout an organization.

When I look at a business, I don’t immediately think about AI. I think about invisible employees.

What repetitive jobs could be delegated? What information is being entered twice? Where are people waiting unnecessarily? What decisions always require the owner’s attention that could be filtered first? Every one of those answers becomes another specialist in an orchestrated AI team.

Final Thoughts

Hiring an AI developer isn’t about finding someone who knows the latest model. It’s about finding someone who understands how businesses function. The right developer won’t try to replace your company with artificial intelligence.

They’ll build an artificial workforce that strengthens the company you’ve already built. Because in the end, the best AI systems don’t imitate one brilliant employee.

They imitate a well-run organization. And sometimes, the diamonds are in the rough.

This is exactly how Ember approaches AI-as-a-Service: an orchestrated AI workforce built around your business — not a one-size-fits-all chatbot.