Hire AI Engineers Who Can Ship With Claude in Production
Most recruiters can’t separate a production-grade Applied AI Engineer from someone who prompts a coding agent and ships the first output. GoGloby runs a 4-stage technical assessment built for exactly that difference. Your shortlist of production-proven engineers lands in 5 days.
Why Hiring Applied AI Engineers Is Broken
Finding engineers who can architect, govern, and ship production AI takes months you do not have.
Paper Tigers Pass Standard Screens
Candidates look right on the resume and fail on real engineering tasks. Interview loops end in a maybe, and the search restarts from zero.
Recruiters Have No Framework for This
Standard recruiters screen for keywords and GitHub links. None of them can tell a production-grade Applied AI Engineer from a prompt-first hobbyist.
The Search Runs 6 Months
Specialized AI hiring through US job boards takes around 6 months. Every week spent sourcing is a week the roadmap slips.
Rates Break the Roadmap Budget
US rates for verified AI talent are hard to sustain across a 12-month roadmap. You either overpay or lose the candidate at the offer stage.
Vetting Metrics You Can Verify
A 4-stage technical assessment no generalist recruiter runs, and a dedicated squad working only on your roles.
Only 4% of GoGloby’s curated outbound pipeline clears the multi-layer technical assessment. For general applicants the rate is 0.04% at most.
1 in 3 candidates we present gets hired and stays, because the technical elimination happens before you see a name.
A decade-built talent network across 5 or more US-timezone countries cuts the hiring cycle in half. Shortlist in 5 days.
Every client gets a focused team of AI-specialized recruiters and engineering leaders working only on their roles.
The 4% Vetting Pass Rate
We run a 4-stage technical assessment to validate real Agentic SDLC mastery. By the time you interview someone, the hard vetting is already done.
Can They Specify?
Before writing a single line of code, candidates must produce a strict, machine-readable architectural spec. Most can’t. This stage alone eliminates 70% of applicants.
Can They Navigate?
We drop them into a 50K+ line codebase with an AI assistant and watch how they work. Context discipline and output validation separate real engineers from prompt jockeys.
Can They Architect?
Candidates design multi-agent systems, evaluate RAG trade-offs, and manage token economics under real constraints. No theory. Production-grade thinking only.
Can They Govern?
Their agent hallucinates in production. Walk us through the first 60 minutes. Only engineers who can own outcomes — not just output — make it through.
Verifiable Delivery Guarantees
Applied AI Engineering Hiring Process
From brief to hired — without a 6-month hiring cycle.
Powering The Enterprise Leaders in Major Verticals
Contact Us
Submit your information to schedule a technical briefing. We will walk you through how we put Claude into production safely and our under 4-week embedding process.
Trusted by
Featured by
Awarded by
We follow data & security practices:
FAQ
An Applied AI Engineer is a senior software engineer who uses AI tools — Cursor, Claude Code, agent frameworks — to architect, build, and ship software at significantly higher velocity than traditional engineers. They don’t just use AI; they govern it. They write specifications before code, manage AI context deliberately, and take full ownership of every AI-assisted output. Applied AI Engineers sit at the intersection of deep software engineering and Agentic SDLC mastery
A general vetting process screens for years of experience, GitHub activity, and algorithm questions. GoGloby’s 4-stage funnel tests what actually matters in production: Can they specify before they code? Can they navigate a real codebase with AI without losing control? Can they architect multi-agent systems under real constraints? Can they govern AI failures in front of stakeholders? Each stage eliminates 60–70% of remaining candidates. Only 4% pass. By the time a candidate reaches your shortlist, they’ve already proved they can do the job — not just interview for it.
Because the market is flooded with developers who can prompt an AI tool but can’t architect, govern, or ship with it at production scale. Standard job boards and general tech recruiters have no framework to tell the difference. Most hiring managers spend months interviewing candidates who look right on paper and fail on real engineering tasks. The signal problem isn’t supply — it’s that the vetting infrastructure to identify genuine Applied AI mastery simply doesn’t exist in most hiring processes.
Yes. GoGloby recruits individual Applied AI Engineers and complete engineering functions. Every candidate runs the same 4-stage assessment regardless of team size, so every name on your shortlist has cleared the same bar.
The 120-day replacement guarantee covers the highest-risk period of a new hire. After that window, GoGloby offers preferred re-engagement terms. If you need to backfill the role, you move to the front of the queue at a reduced fee.
GoGloby recruits across all work models — remote, hybrid, and on-site. Our talent network spans 5+ US-timezone countries, so whether your team operates fully distributed or requires in-office presence, we source candidates who match both your technical bar and your working model. Every shortlist is filtered to your specific requirements before it reaches you.
Direct hire suits a permanent role you will manage and retain long term. The embedded model forward-deploys Claude Certified Architects, AI Solutions Architects, and Applied AI Engineers, and suits a mandate on a clock where you need Claude in production within weeks. GoGloby runs both. See our AI Staff Augmentation page.