Architect and scale AI systems in production (LLM agents, recommendation engines, personalization)
Design multi-agent workflows and AI microservices that operate at scale
Turn business problems into AI-driven solutions with measurable impact
Ship AI features that directly improve conversion, retention, and customer experience
Build and lead a high-performance AI team (2–5 hires per quarter)
Establish MLOps, CI/CD, monitoring, and scalable AI infrastructure

5+ years leading engineering teams in high-performance, fast-paced environments
3+ years building and shipping AI/ML systems in production (LLMs, recsys, personalization, or similar)
Hands-on experience with LLMs, AI APIs, and frameworks (LangChain or similar)
Strong experience designing scalable architectures, microservices, and AI pipelines
Proven track record of delivering AI solutions tied to business impact (CVR, revenue, UX)
Experience with AWS and cloud-based AI infrastructure
Solid understanding of MLOps (deployment, monitoring, model lifecycle, performance)
Experience hiring, mentoring, and scaling engineering teams
Strong ability to connect technical decisions with business outcomes
Advanced English (global, remote team)

Tech Manager, AI

Key skills