Hire an AI engineer who's actually shipped to production.

GenAI builds, agent platforms, ML systems, AI infrastructure, AI product engineering. Engineers who have put AI into production — with uptime, cost, latency, and evaluation that hold up in real conditions. Not engineers who built one notebook last quarter.

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Pick your AI specialisation

Engineers who build, deploy, and operate AI systems in production - from RAG apps to agent platforms.

GenAI engineers

RAG systems, LLM apps, fine-tuning, evaluation harnesses, production deployment. Shipping real GenAI, not demos.

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Agentic AI engineers

Multi-step agents, tool-use orchestration, agent evaluation, production agent infrastructure.

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ML engineers

Recommendation systems, ranking models, MLOps, training pipelines, classical ML in production.

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AI infrastructure engineers

GPU clusters, model serving, inference optimization, vector databases, AI platform architecture.

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AI product engineers

Full-stack engineers shipping AI features into production apps. Frontend, backend, AI integration end-to-end.

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What AI engagements typically look like

01
A customer-facing assistant built on a retrieval architecture over your own content
03
A production ML ranking system replacing rules-based logic for a search or recommendation surface
05
A fine-tune on your domain data to reduce cost and improve accuracy
02
A multi-step agent that automates a real internal workflow with tool-use and evaluation
04
A GPU infrastructure build with proper inference serving, queue management, and cost discipline
06
An AI feature shipped end-to-end into your existing product — frontend, backend, AI integration

What good looks like in AI hiring

In AI specifically, 'good' means the engineer can tell you when to build something and when not to. A good AI engineer will sometimes tell you the right answer is a rules engine and a database, not an agent — and they'll save you money by saying it. We match for that judgment, not just the technical bench.

01
Adoption program

This program rewards cloud professionals who identify and enroll newly created AWS customer accounts that demonstrate steady initial billing and growth potential.

02
Adoption program

This program rewards cloud professionals who identify and enroll newly created AWS customer accounts that demonstrate steady initial billing and growth potential.

03
Adoption program

This program rewards cloud professionals who identify and enroll newly created AWS customer accounts that demonstrate steady initial billing and growth potential.

04
Adoption program

This program rewards cloud professionals who identify and enroll newly created AWS customer accounts that demonstrate steady initial billing and growth potential.

Cloud engagements often qualify for funding offsets

Migration, modernization, and landing zone projects are the engagement types most likely to qualify for cloud provider funding programmes that reduce your landed cost. Mention it on your intro call — we'll tell you honestly whether your project qualifies.