Define the role and the goals
We clarify the experience, goals, tools, and what defines success.
AI/ML Engineer Staffing
Hire AI and ML Engineers that Actually Fit the Role.
Tired of resumes full of AI buzzwords? We help teams like yours hire experienced and vetted AI and ML talent who can build, ship, and scale. And we do it fast.
We’ve curated a world-class network of top AI technical talent with verifiable track records.
- First candidates delivered in under 1 week.
- 92% 12-month retention rate.
- 17-day average time-to-hire.
- 15 Years + average experience per recruiter
The demand for AI and ML engineers currently outpaces supply. Hiring delays cost businesses thousands every month. Most recruiters can’t tell the difference between a model deployment engineer and an NLP specialist. Hiring the wrong person sets teams back a period.
“82% of tech executives say talent gaps are the #1 reason AI efforts stall.” – McKinsey, 2024
Old-School Recruiters. Modern AI Talent.
We get people. That means going beyond resumes to assess the real fit.
Every AI or ML candidate we present is technically vetted by people who’ve hired these roles before.
We move fast without sacrificing quality. We only present candidates that fit your team and goals.
Contract
Contract-to-Hire
Permanent Placement
Consulting / Project-Based
From LLM Engineers to MLOps Architects, We’ve Done it all.
Roles we’ve placed
- Machine Learning Engineer
- AI Engineer
- NLP or LLM Engineer
- MLOps Engineer
- Computer Vision Engineer
- AI Product Manager
- Data Scientist
- Generative AI Engineer
- Prompt Engineer
- Applied AI Specialist
- AI Architect
Hire AI and ML engineers who actually move the needle.
Deliver vetted candidates quickly
Our candidates are screened by recruiters with decades of experience. Not just a keyword match.
Interview and hire
We get results fast. And if it doesn’t work out, we’ll find you someone who does. First candidates often delivered in 3–5 business days.
Ongoing support
We can help you on a consulting basis for workforce planning and optimization.
Results That Speak for Themselves
“We needed an LLM engineer with vector DB experience and compliance knowledge. Kore1 delivered 3 candidates in 5 days. We hired one. She’s now leading our GenAI initiative.” – CTO, HealthTech Company
Our Recruiters Look Beyond What’s on the Resume
- Engineers experienced in HIPAA, GDPR, SOC2, and more
- Cultural fit assessment and success forecasting
- Transparent process to eliminate bias
- Business fit alignment
“Every engineer is evaluated for both technical depth and contextual fit. So your AI strategy doesn’t get derailed by bad hires.”
– Devin Hornick, Partner at Kore1
Frequently Asked Questions
How fast can you place an AI/ML engineer?
Three to five days for the first candidates. Avg. 2 to 3 weeks to hire. here, click edit button to change this text.
Do you technically vet candidates?
Yes. All candidates are screened by senior engineers before you see them.
Do you support stealth or confidential projects?
Yes. We work under NDAs and have placed engineers in government and stealth AI settings
Absolutely. We can source talent anywhere.
→ Absolutely. We source talent across the U.S., Canada, and LATAM.
What if the hire doesn’t work out?
We offer a no hassle replacement guarantee.