Hire AI Developers: What to Check Before You Sign

The market for AI talent is tight enough that the usual hiring checklist doesn't cut it. Demand for AI talent outpaces supply by roughly 3.2 to 1 globally, with about 1.6 million open positions chasing 518,000 qualified candidates. 72% of employers report real difficulty filling these roles, and the best candidates are off the market in about 10 days, against an average time-to-hire of 95 days. A slow process doesn't vet the best people; it vets whoever is still available.

Four things to verify before you sign

Ask for proof, not a portfolio slide

A slide deck with client logos proves nothing. Ask for a specific, technical walkthrough of one project: what broke, how they debugged it, what they'd do differently. Anyone who built the system firsthand can answer this in detail. Anyone who managed a team that built it, or is reciting a case study, usually can't.

Confirm they define success before they start

Insist on a written definition of success before anyone starts: specific accuracy targets, integration points, and a review process for when the agent gets something wrong. 73% of failed AI projects had no agreed definition of success before the project began, and a candidate who can't articulate one upfront is repeating the same gap that sinks most AI projects, only earlier in the timeline.

Check who owns the system after launch

AI systems need upkeep: model updates, prompt tuning, monitoring for drift. Ask directly who's responsible for that after the contract ends, and get it in writing. A freelancer who disappears after handoff leaves you with a system nobody can maintain.

Price against the real market, not a guess

AI-skilled workers command roughly a 56% wage premium over peers without those skills, and senior-level bill rates are up 15 to 30% while junior rates have dropped 8 to 12%. A quote far below that range is a red flag on experience, not a good deal.

Don't only vet the AI skill

Demand for AI governance skills is up 150% and AI ethics skills demand is up 125%, reflecting how much of a real AI agent project is about handling data and decisions responsibly, not only writing prompts. If your project touches customer data or automated decisions, ask candidates directly how they handle governance and review, not only which model they prefer.

Vetting applies to freelancers and agencies alike

This checklist applies whether you're hiring a solo freelancer or an agency team. Our guide on AI agent development company vs freelancer covers the cost and risk trade-off between the two, and if you're weighing an offshore agency specifically, our guide on questions to ask before hiring one goes further into vetting and communication. Once you know what to check, our AI and automation team is a straightforward option if you'd rather start with people who've already been through this checklist.