Trusted by teams at
What we screen for
- LLM application architecture
- Agents and tool use
- Retrieval (RAG)
- Evals and observability
- Prompt and context engineering
- Full-stack product engineering
Product-minded engineers
We look for people who have shipped AI features to real users, not just prototypes.
Pragmatic vetting
Candidates are tested on judgment: when to use a model, when not to, and how to measure it.
AI-only focus
We recruit exclusively for AI roles, so our applied AI network is deep.
Frequently asked questions
What is an applied AI engineer?+
An applied AI engineer builds products and features on top of large language models and other AI models: agents, retrieval systems, evaluations and the surrounding software.
How fast can you deliver candidates?+
It depends on the role and the market. We agree on a timeline when we scope your search, and expert cohorts for data projects can often start sooner because we draw on people already in our network.