AI/ML Engineer Staffing

If you're tired of résumés full of AI buzzwords, you're not alone. Right now, the demand for AI and machine learning engineers far outpaces supply. And hiring delays, they cost companies thousands every single month. The real problem isn't volume, it's fit. Most recruiters can't tell the difference between a model deployment engineer and an NLP specialist. So you get mismatched resumes, slow interview cycles, and candidates who look great on paper, but can't actually build, ship, and scale. In fact, 82% of tech executives say talent gaps are the number one reason AI initiatives stall. Hiring the wrong AI engineer doesn't just waste time, it sets your entire road map back. At Core 1, we do things differently. Old school recruiters, modern AI talent. We've curated a world-class network of vetted AI and ML engineers with a 92% 12-month retention rate and a 17-day average time to hire and more than 15 years of recruiter experience on average. Every candidate we present is technically vetted by professionals who have hired these roles before. We go beyond résumés to assess real technical depth, real world execution, and actual business alignment. From LLM engineers to MLOps architects, we've done it all. We place machine learning engineers, AI engineers, NLP and LLM engineers, and MLOps engineers. Engineers experienced with HIPPA, GDPR, SOCK 2, and regulated environments. Because AI doesn't live in a vacuum, it has to work in your world. We start by defining the role clearly, the goals, the tools, what success actually looks like. Then we deliver vetted candidates quickly, not keyword matches, not resume spam. Real engineers who fit your team and your roadmap, and we stay engaged throughout the process, from consulting on workforce planning to providing long-term support for your new hires. One CTO told us, "We needed an LLM engineer with vector database experience and compliance knowledge. Core 1 delivered three candidates in 5 days. We hired one. She's now leading our Gen AI initiative. The AI landscape is moving fast. Competition for top talent is fierce. That's the difference fit makes. Don't let hiring gaps derail your strategy. Hire AI and ML engineers who actually move the needle. Let's build your team. Hire the talent you need today at core1.com.

Hiring specifically for large language model work? See our 2026 guide to hiring LLM engineers — covers the three sub-roles (Integrator, Platform Engineer, Research / Fine-Tuning), 2026 comp bands, and the five resume-padder tells.

Writing or refreshing the ML engineer JD itself? See our 2026 ML engineer job description template — covers the four hiring lanes, salary benchmarks from five sources, and the JD mistakes that screen out the strongest candidates before the first interview.

For AI engineer roles specifically, our 2026 AI engineer job description template covers LLM, classical ML, and infrastructure profiles with a ready-to-adapt template and salary benchmarks from five sources.