Agentic AI System Design

Let me walk you through how I'd design a production agentic AI system — an autonomous agent capable of completing complex, multi-step tasks by reasoning, planning, using tools, and adapting based on observations. I'll cover business and ML objectives, the core orchestration architecture, data and context strategy, memory systems, model training and alignment, infrastructure, evaluation, and robustness. This is a genuinely different kind of system design problem compared to traditional ML pipelines, because the system's behavior is fundamentally open-ended and non-deterministic, which changes almost every design decision from evaluation to deployment.