Hire a certified cloud or AI engineer matched to your project.
Every engineer in our network is certified, vetted for delivery history, and matched to your project based on what they've actually shipped.
Reducing hiring time by 30% and improving team efficiency across industries.
Two paths into the network
Architecture, migration, modernization, and optimization across AWS, Azure, and GCP. The infrastructure layer.
GenAI, agentic systems, ML, AI infrastructure, and AI product engineering. The intelligence layer.
Cloud engineers
Engineers who build, migrate, modernize, and operate cloud infrastructure at scale.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
AI engineers
Engineers who build, deploy, and operate AI systems in production - from RAG apps to agent platforms.
RAG systems, LLM apps, fine-tuning, evaluation harnesses, production deployment. Shipping real GenAI, not demos.
Multi-step agents, tool-use orchestration, agent evaluation, production agent infrastructure.
Recommendation systems, ranking models, MLOps, training pipelines, classical ML in production.
GPU clusters, model serving, inference optimization, vector databases, AI platform architecture.
Full-stack engineers shipping AI features into production apps. Frontend, backend, AI integration end-to-end.
Seamlessly connecting infrastructure design with software delivery cycles through automation and CI/CD.
Not sure which specialisation you need?
Submit your project with a description of what you're trying to build or fix, and we'll match you based on the work — not your self-diagnosis. Most customers get this right; some don't, and that's what we're here for.
If your project sits at the intersection of cloud and AI (a common case — deploying an agent on fresh AWS infrastructure, building an ML platform on GCP), tell us. We match on the shape of the work, not the keywords.
