The engineers who build AI. The leaders who scale it.

AI & infrastructure talent

Forward Deployed Engineers

Engineers who ship AI inside customer environments and own the outcome.

AI Engineers

LLM apps, agents, RAG and evals — production, not prototypes.

Inference Engineers

Model serving, latency and cost at scale — vLLM, Triton, TensorRT.

GPU Engineers

CUDA, kernels and cluster performance for training and inference.

AI Architects

System design for AI platforms across cloud, data and security.

Data Engineers

Pipelines, lakehouses and streaming that AI products depend on.

Data Scientists

Modelling, experimentation and applied ML with business impact.

DBaaS Engineers

Database platform and reliability engineering for managed services.

AI Leadership

Head of AI/ML, Chief AI Officer, MLOps and applied research leads.

Sectors we know deeply.

Five years of sector focus means we know the talent pools, compensation bands and hidden candidates in every vertical.