Senior AI Engineering Lead (PhD)

職務概要

NYB is looking for a senior AI engineer leader with the research depth of a scientist and the instincts to lead. You treat our agent as a living research problem, not a shipped feature. The agentic field rewrites its own best practices every few months; we need someone who reads the frontier, has the taste to separate signal from hype, prototypes the promising ideas fast, and lands the ones that hold up in production — with evidence they made the system better. You won't stand up infrastructure from scratch. We already run a working agent orchestrating 300+ scientific tools, with a small, strong team behind it. You're here to make it markedly smarter, more reliable, and more autonomous — and to help lead the engineers building it, raising the bar for how the whole team works. - Own the research-to-production loop for our agent: survey emerging agentic techniques, run structured experiments against them, and ship what proves out. - Continuously upgrade core agent capabilities — planning, tool selection and reasoning, memory, multi-agent coordination — measured against real tasks and bench outcomes, not demos. - Build and own the evaluation harness that tells us whether a change is genuinely an improvement. For a system answerable to experiments, this is the backbone of the role. - Diagnose where the agent fails at the edge of its current capability, and design the fixes. - Help lead the agent platform team: set the technical direction for agentic practice internally, review and mentor, and raise the quality bar for the engineers you work alongside. - Translate frontier research into pragmatic engineering calls under real reliability, latency, and cost constraints.