AI, ML, and Data Roles We Recruit For
AI engineer, ML engineer, and data scientist are distinct disciplines with different skill profiles, day-to-day work, and hiring requirements. Our searches are calibrated to the specific role — not a generic "technical" search applied to everyone.
Core role specializations
Our deepest search coverage — with detailed role-specific sourcing criteria and technical screening context.
AI Engineer
Direct-hire recruiting for AI engineer roles — sourcing and screening candidates who build production LLM applications, RAG systems, and AI-native products.
ML Engineer
Direct-hire recruiting for ML engineer roles — sourcing candidates who can build and maintain production ML systems, not just train models in notebooks.
Data Scientist
Direct-hire recruiting for data scientist roles — sourcing candidates who can do the full job: statistics, experimentation, modeling, and business judgment.
AI / GenAI
Building LLM-powered products, RAG systems, and AI-native applications.
Machine Learning
Model training, feature pipelines, MLOps, and production ML systems.
Data Science & Analytics
Statistical modeling, experimentation, product analytics, and business intelligence.
Data Engineering
Data pipelines, infrastructure, platform engineering, and data architecture.
Technical Leadership
Heads of AI and data, directors, and VP-level technical leaders.
Is your role not listed?
If your role is adjacent to these categories, submit it and we will let you know whether we can support the search.
Submit a RoleHiring for an AI, ML, or data role?
Send us the role details and we will respond with whether the search is a fit.