Hire AI Engineers
Specialist AI/ML Recruitment

For qualified roles, we deliver your first shortlist of 2-4 fully screened candidates within 3 business days of receiving your job brief.

Our recruiters understand the nuances of AI engineering—from production inference pipelines to MLOps infrastructure—allowing for calibrated technical screening specific to each role's requirements.

AI Engineers focus on building and deploying AI systems into production, emphasizing engineering and MLOps. Data Scientists typically focus on data analysis, modeling, and insights, often using notebooks.

Without a specialist recruiter, the average time-to-fill for AI engineers is 60–90 days. People in AI significantly reduces this, accelerating your product roadmap.

No. While some research-heavy roles may benefit from a PhD, most product-facing AI engineering positions prioritize strong practical experience, production skills, and a robust GitHub profile over academic credentials.

Senior Applied AI Engineers range from $180k–$240k, ML Platform Engineers $190k–$260k, and Research Engineers $220k–$350k+. Equity and signing bonuses are standard.

Speed is critical. Top AI engineers receive multiple offers. Compress your interview process, move decisively, and ensure competitive compensation packages to secure the best candidates.

An Applied AI Engineer integrates AI models and features into real-world applications, focusing on the full pipeline from model development to deployment and maintenance in production environments.

An MLOps Engineer builds and maintains the infrastructure and tools that enable the efficient development, deployment, and monitoring of machine learning models at scale, ensuring reliability and performance.