Head of Engineering
Core
Architecting autonomous AI agent orchestration systems that research trends, generate creative, and run ad strategies without human intervention, while building feedback loops for agent learning and improvement.
Role type
Principal/Staff Machine Learning Engineer (Agentic AI Systems)
Builds
Autonomous AI agent orchestration layer, evaluation harnesses, memory systems, and reinforcement learning mechanisms for marketing automation.
Domain
Artificial Intelligence / Agentic Systems / Marketing Technology
Deliverable
production ML models
Required skills
AI agent orchestration, reinforcement learning, system architecture, evaluation metrics design, LLM research, feedback loop engineering
Preferred skills
Creative strategy internalization, consumer behavior modeling, autonomous system design
Technologies
LLMs, Reinforcement Learning, Agentic Frameworks
Responsibilities
Designing the architecture of agentic systems including orchestration and memory layers; building systems for agents to learn from data and iterate; defining evaluation metrics and feedback loops; hands-on coding and PR reviews; setting technical direction for AI agent development.
