01
GPU and Compute Engineers
Engineers optimising GPU clusters, job scheduling and performance for training and inference.
AI Infrastructure & Systems
AI infrastructure recruitmentfor the systems behind AI at scale.
Lio recruits engineers who build the compute, data and deployment platforms AI companies depend on. As models and workloads grow, infrastructure becomes a competitive advantage, so we place engineers who can make large-scale systems fast, reliable and cost-effective.
Who we recruit
The engineers we recruit
02
Distributed Systems Engineers
Specialists building resilient, high-throughput systems that coordinate large numbers of machines.
03
MLOps and ML Platform Engineers
Engineers building the pipelines, tooling and monitoring that move models from research into production.
04
Data Platform Engineers
Engineers designing storage, pipelines and quality controls for large training datasets.
05
Inference Engineers
Engineers reducing latency and cost for model serving at scale.
06
Infrastructure Leaders
Senior leaders responsible for platform strategy, reliability and scaling the infrastructure team.
Our perspective
Why infrastructure talent is different
Infrastructure engineers are judged on what happens under load, during an outage and when costs rise. Strong candidates can describe the systems they have run, the failures they handled and the trade-offs they made between speed, reliability and cost. We test for that operational judgement in every conversation.
Many AI companies discover infrastructure needs late, when training runs or serving costs become constraints. We help leaders decide when to hire platform specialists, which skills to prioritise and how to structure the team around research and product engineering.
We support AI infrastructure teams across the US.
Challenges
Infrastructure hiring challenges
- 01
Matching scale to experience
Engineers who have run very large systems are rare. We look for candidates whose scale and responsibilities match the company’s next stage.
- 02
Balancing research support and operations
Infrastructure work spans on-call reliability, research support and developer tools. We clarify that balance for each role.
- 03
Setting realistic compensation expectations
Specialist infrastructure talent is in demand. We help companies understand the market and the trade-offs before the search starts.
Related specialisms
Explore more of our search areas.
Get in touch
Exceptional teams start with the right people.
Whether you're building something ambitious or considering your next move, let's talk.
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