Most recruiters learn to spell the words. Our team learns the concepts. That domain literacy is what lets us distinguish a genuinely skilled ML engineer from someone who lists TensorFlow on their CV.
Our recruiters hold focused domain knowledge built through genuine immersion in the technology community. They attend developer events, read engineering blogs, and understand what separates junior from senior — not just in title, but in capability.
The fastest-growing hiring segment in technology. We understand the architectural differences between RAG, fine-tuning, and prompt engineering approaches — and we screen accordingly. Our network includes practitioners who've shipped production GenAI systems, not just experimenters.
We hire across the full ML spectrum — from research scientists building novel architectures to MLOps engineers ensuring models run reliably in production. We evaluate candidates on real engineering rigour, not just familiarity with popular frameworks.
The data infrastructure that powers AI and analytics products. We look for engineers who think about data quality, pipeline reliability, and lakehouse architecture — not just those who can write a Spark job from memory.
Infrastructure is a competitive advantage when done well. We hire cloud engineers and platform specialists who care about reliability, cost efficiency, and developer experience — building systems that scale with the product, not against it.
Engineers who can own the complete product — from building fast, accessible frontends to designing robust backend APIs and the databases that support them. We particularly value engineers who understand product context, not just implementation.
We track the frontier and maintain a bench of specialists in technologies that are reshaping industries — from Blockchain and Web3 to IoT systems and spatial computing. These are rare skills, and finding the right people requires a different approach.
Tell us the stack and the role. If we've placed someone in it before, we'll move fast. If it's new territory, we'll be honest about timelines.
Find specialist talent