Artificial Intelligence Engineer

We are working with an exceptionally well-backed, early-stage AI company tackling one of the biggest constraints facing frontier models: the availability of high-quality training data. They’re building the infrastructure and research capabilities needed to push models beyond traditional supervised fine-tuning, across reinforcement learning, synthetic data, simulation, post-training and learning from experience. They’re now looking for a Member of Technical Staff to join a small, elite team working directly with some of the world’s leading AI research organisations. This is a rare combination of frontier research and serious engineering. Roughly 30% of the role is research and 70% is building, identifying where current models fail, developing new approaches, building the environments and datasets to address those failures, and getting the work into production quickly. You’ll work across: Model reasoning and post-training RL, alignment and reward design Large-scale evaluations and benchmarking Training data and synthetic data Agent systems and distributed execution The ideal profile combines top-tier research credentials, ideally a PhD with publications at NeurIPS, ICML or ICLR, with a proven ability to turn research into working production systems. You’ll have genuine autonomy over the problems you tackle and operate much closer to founding-team scope than a conventional research role. #J-18808-Ljbffr Radley James