AI/ML Engineer
An AI/ML engineer sits between data science and software engineering, and the role only works when someone is genuinely comfortable on both sides.
Generative AI Engineer
This role barely existed a few years ago, which makes hiring for it unusually hard: there is no long track record to lean on and a great deal of confident noise.
Data Engineer
Data engineering is judged on something invisible when it works: numbers that are correct, current and consistent.
DevOps Engineer
DevOps is the role most often hired too late — usually once deployments have become frightening.
Insurance Tech Consultant
Insurance platform consultants are hired for a combination that is genuinely scarce: deep knowledge of a single vendor platform plus enough insurance domain understanding to talk to underwriters and claims handlers directly..



