This family covers the production engineers who take models from prototype to scale. The mandates we see most often: LLM fine-tuning and post-training, retrieval-augmented generation, inference optimisation, evaluation harnesses, and MLOps maturity inside teams that are still scaling. Genuine engineering depth, not prompt work.
Production ML engineers — 7+ years — owning model, serving, evaluation and monitoring end-to-end for GCC AI teams.
Principal-level engineers — 12+ years — setting the technical direction for AI teams of 15+ across the GCC.
Engineers building production LLM and GenAI systems — fine-tuning, retrieval, agentic workflows, evaluation — at the model layer.
One registration, all 3 roles in this family. We screen against new mandates within 48 hours and only come back when there's a credible fit.
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