AI Engineering Manager

AI Engineering Manager - Agentic & Applied AI Location: United States (Remote) Compensation: $350-420K base + 15% bonus + meaningful equity Reports to: CTO About the Company We’re working with a rapidly scaling AI startup growing ~10% month-over-month, building production-grade, agentic AI systems. With a Series C on the horizon, they are investing heavily in their core AI platform and multi-agent infrastructure. This is an opportunity to lead world-class AI teams working on applied AI, applied research, and evaluation systems - building real-world AI agents deployed at scale. The Role We’re hiring an AI Engineering Manager to lead three AI-focused squads: Applied AI Applied Research AI You will start with 5 direct reports, with expected growth to ~10 engineers over the next 12 months (mid-level and senior ICs). This is a technical leadership role. You won’t be coding day-to-day, but you must deeply understand architecture, model fine‑tuning, and multi‑agent production systems. You will lead by example, run tight standups, and bring technical legitimacy to a team of very smart engineers. What You’ll Do Lead and scale three AI squads across applied AI, applied research, and evaluation Own delivery of agentic AI systems running in production at scale Oversee fine‑tuning pipelines, model iteration cycles, and evaluation frameworks Guide development of multi‑agent systems Ensure production reliability, scalability, and performance Drive technical decision‑making across architecture and tooling Run disciplined team operations (tight standups, strong execution cadence) What We’re Looking For Core Requirements Experience leading AI/ML engineering teams in production environments Hands‑on experience (recent, last 12–18 months) with: Agentic systems AI agents in production Model fine‑tuning workflows Strong architectural depth - must understand the code even if not coding daily Experience operating distributed teams Proven ability to run high‑performing engineering teams Ideal Background Experience from AI-native companies or strong AI groups High-performing AI startups that have shipped agent-based systems Who This Is For A technical AI leader who wants to build, not just research Someone who prefers convergence and shipping over academic exploration A disciplined operator who can run a tight ship Someone excited by hypergrowth and real-world impact #J-18808-Ljbffr