Deeptech (AI)

From research scientists and ML engineers to the platform and infrastructure people who put models into production, we hire across the full deeptech stack.

Clear profile from the start
We define the balance between research, applied AI and production engineering before outreach begins.
Interview time protected
We check each candidate against the agreed technical criteria before they meet your senior engineers.
Hiring that supports the roadmap
We keep the process focused and bring in people who can move the product forward.

Deeptech (AI)

in numbers

What we've learned from recruiting in this industry

Hires
2
Companies
2
Avg. time to offer
26
NPS
88

Competing for AI talent

Large AI labs can move quickly and set high salary benchmarks. Deeptech companies can stand out through meaningful problems, real ownership and direct access to decision-makers. We help you present that offer clearly and benchmark it against current market data.

Scaling an AI team

Hiring 20 people over two years needs a programme, clear ownership and a steady candidate pipeline. We keep the process organised, support interviewers and apply the same standard across every role as the team grows.

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