Customer-Facing Engineering

This is a customer facing role at the intersection of cutting-edge RL/post-training methods, applied data, and agent systems. You’ll have a direct impact on shaping how advanced models are aligned, evaluated, deployed, and used in the real world by advancing agent capabilities, designing and iterating on next-generation AI agents that tackle real workloads, workflow automation, reasoning-intensive tasks, and decision-making at scale. This also includes building robust infrastructure, developing the distributed systems, evaluation pipelines, and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale. You will translate customer needs and insights from applied data into clear technical requirements that guide product and research priorities.