How to hire an experienced AI engineer

Who these people are

The engineers who build GenAI and machine learning systems: LangChain, LlamaIndex, RAG pipelines, vector databases such as Qdrant and Pinecone, Bedrock, MLflow. Titles vary. The named product is what makes the role hard.

Why your ad brings nobody you want

This work barely existed a few years ago, and every company is chasing the same small, proven pool of people. They do not need to look for a job, so they never see your ad.

What we do

Every person in your market who works with these products is found and told about the role, within two weeks. The interested ones book themselves into your calendar.

What it looked like last time

An experienced AI engineer search: 70,000 people read in the market, the best 800 reached, 70 interviews in six weeks and two hires. Three months of ads had produced nobody who passed the selection interview.

Which markets

DACH, the United Kingdom, the Nordics, Benelux, the United States and the Gulf. A search runs only where more than a thousand relevant people exist.

The first call

Twenty minutes. We bring a shortlist of the best few candidates for your role and the count of relevant people in your market.

Do you find people certified on a specific platform?

Yes. The search starts from the product the role really needs, not from a job title, because a title is easy to fill and a title plus a named product is not.

How fast do interviews start?

The first interviews usually start inside the first month; everyone relevant hears about the role within two weeks.