Mindpool USA
Hub · AI Hiring

Hiring AI talent in the United States.

A pillar guide to permanent, direct-hire recruitment for AI teams — infrastructure, applied ML, evaluation, and governance.

Hiring for AI in the United States means competing for a small, mobile pool of engineers who already have their pick of employers. Mindpool USA runs permanent, direct-hire recruitment for AI teams — foundation-model research, applied ML, ML platform, inference infrastructure, evaluation, and AI governance — with sector-specialist recruiters who screen against the actual brief instead of the job title.

Foundation and applied ML roles

ML engineers, applied scientists, research-to-production leads across recommendation, ranking, vision, NLP, and multimodal systems — sourced against real production scope, not vanity keywords.

Generative AI and LLM specialists

Foundation-model training, fine-tuning, RAG, agents, and applied LLM systems for enterprise and consumer products.

AI infrastructure and MLOps

Training infrastructure, inference platforms, distributed compute, observability, and model lifecycle operations.

Evaluation, safety, and governance

RLHF, evaluation harnesses, red teaming, and AI governance operators — the roles teams need but rarely staff well.

Frequently asked

How long does it take to hire an AI engineer?

For permanent, direct-hire AI roles in the United States, Mindpool USA typically returns a first shortlist in 10–21 days depending on brief specificity and location. Complex research or infrastructure searches can run longer; execution-focused ML engineering roles are often faster.

Do you place contract or contingent AI workers?

No. Mindpool USA is a permanent-only recruitment firm. Every AI hire is placed as a full-time, direct employee of your organisation. If you need contingent capacity, we're not the right fit.

Which AI roles do you cover?

Machine learning engineers, applied scientists, ML platform engineers, MLOps and inference engineers, generative-AI and LLM engineers, AI research scientists, AI infrastructure leads, evaluation and safety engineers, and AI product managers.

How do you vet AI candidates?

Sector-specialist screening — resumes and links are the starting point, not the finish. We validate research provenance, production impact, and system-design depth through structured interviews and references before shortlisting.

Hire the talent that builds what's next.