Ability to design meaningful experiments, interpret results, and make evidence-based trade-offs across model architecture, training data, model quality, compute requirements, latency, and cost. Strongly preferred: Experience developing Agentic AI systems, including tool-using agents, planning, memory, multi-agent systems, agent orchestration, and intelligent workflows.