Traditional recruiting firms — the contingency and retained agencies that companies have used to fill roles for decades — are a proven, low-risk way to hire. If you need to fill a well-understood role fast, with someone else absorbing the sourcing grind and the salary negotiation, an agency is often the right call. Where the model strains is a narrower question: hiring an AI-native engineer whose real ability doesn't show up on a resume.

The traditional agency model is old, large, and battle-tested. Robert Half, founded in 1948, runs over 345 locations worldwide and reported US$5.80 billion in revenue in 2024, staffing everything from finance and accounting to information technology (Wikipedia). Korn Ferry, founded in 1969, operates in more than 100 offices across dozens of countries and built its name on retained executive search (Wikipedia). Between the global names and thousands of boutique tech recruiters, this is the default way most companies have hired for two generations.

The mechanics are consistent across the category. A recruiter takes your job description, works their network and their databases, screens applicants against the spec, and hands you a shortlist to interview. Contingency firms only get paid when you hire someone they placed — no placement, no fee. Retained firms charge up front for a dedicated, exclusive search, typically for senior or hard-to-fill roles. The sourcing engine is relationships and resumes: a recruiter's book of contacts, their read on who's likely to move, and their judgment about which candidate fits.

Third-party recruitment agencies typically charge a finder's fee of 20–25% of the hire's first-year salary — which can top $25,000 for an employee earning $100,000 a year (Wikipedia). That's an industry norm, not a quirk of any one firm. With contingency, you pay it only on a successful hire, so the risk of an empty search sits with the recruiter, not you. With retained search, you pay in stages for a committed, prioritized effort. Either way, the pricing is transparent and the incentive is clear: the firm gets paid when you get a hire.

Speed and coverage. A firm that has been placing engineers for years has a warm bench of candidates and can produce a shortlist in days, not weeks. For roles the market understands well, that head start is real and hard to beat solo. They shield your employer brand. A recruiter can approach passive candidates, float a role, and gauge interest without your company's name attached until the moment it helps. That discretion matters when you're hiring quietly or competing against bigger names. Negotiation and closing. Experienced recruiters do this hundreds of times a year. They read comp expectations, manage counteroffers, and close candidates who might otherwise walk — a skill most hiring managers only practice occasionally. Contingency de-risks the spend. You don't pay for effort, you pay for a hire. For a company that can't afford a search that goes nowhere, that structure is genuinely reassuring.

The traditional model is optimized for roles that can be judged from a resume and an interview: a defined skill set, a known title, a career track a recruiter can pattern-match against. That's most roles. It fits them well.

The strain point is specific — an AI-native engineer's real value is in how they work, not what's on the page. Two engineers can have identical resumes, and one ships production features with AI tooling in an afternoon while the other is still fighting the setup. A recruiter's screen is calibrated for frameworks, years, and titles, because that's what's verifiable from the outside. Whether someone is genuinely fast and fluent with modern AI tools is hard to see from a profile, so it's usually taken on faith or gauged in a conversation rather than demonstrated.

The other thing worth planning for: an agency hands you a candidate, then steps out. You still run the interview to confirm AI-native fit, and if you're using contract or fractional talent, you still handle the employment, payroll, and compliance yourself. The firm solves sourcing. The rest stays on your desk.

The best AI engineers usually aren't in a recruiter's database, and they're not answering a cold pitch about a job. The ones you actually want are already working — booked on a contract somewhere else, heads-down on something hard, not in anyone's pipeline waiting to be matched. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We find them, and then we don't ask you to take our word for it. We give each a real problem to build and watch how they actually work, so you know they're AI-native because you've seen it, not because a resume said so. When you want one, we employ them for you. One named engineer on your team, and the contract, payroll, and compliance never touch your desk. A traditional firm sends you a shortlist and leaves you to verify the AI-native part yourself and run the employment yourself. We do both. You're not picking from who applied. You're getting the engineer who never would have.

For most roles, a traditional recruiting firm is a smart, safe choice — decades of proof, real speed, and a fee structure that only charges you when you hire. If you're filling a role a resume can describe, use one. When the role is an AI-native engineer whose ability lives in how they build, you want proof you can see and someone who reaches the engineers who never picked up the phone.