Haotian Zhang

Haotian Zhang is a machine learning engineer focused on applied AI, LLM applications, information retrieval, and production ranking systems. He previously contributed to LlamaIndex and is publicly associated with work on LLM/GenAI tooling, retrieval, and agent infrastructure; his background includes a PhD from the University of Waterloo in information retrieval and applied machine learning.

Agentic AI Is Turning Model Quality Into a Systems Problem

At AI Engineer Singapore’s second day, speakers from Google DeepMind, Cloudflare, Arize, OpenClaw, Adaption and other teams made a shared engineering case: as AI systems become more agentic, model quality is no longer separable from the systems around the model. Richard Ngo framed the risk as long-horizon, situationally aware agents whose goals cannot be inspected, while practitioners argued that production AI now depends on continuous evaluation, traces, deterministic execution boundaries, routing, memory, fine-tuning and test-time search. The source’s central claim is that useful and safe agentic AI is becoming a systems problem, not just a model-selection problem.

AI EngineerMay 17, 202626 min read