Agent策略工程师（J106592）
Core
Design and iterate strategies for health content generation agents, building automated inspection and self-evolution mechanisms based on Agentic Looping to drive continuous quality improvement.
Role type
Senior IC Agent Strategy Engineer (Health)
Builds
Automated health content generation agents with tool orchestration and self-evolving capabilities
Domain
Healthcare + Large Language Models (LLMs) + Agentic Systems
Deliverable
production ML models
Required skills
Complex system design, LLM fine-tuning and alignment (SFT/DPO/RLHF), Agentic Looping architecture, Harness engineering, Data engineering, Model evaluation
Preferred skills
Health/Medical domain knowledge, Information Retrieval (IR), Knowledge Graphs, Large-scale inference systems
Technologies
Agentic Looping, SFT, DPO, RLHF, Harness
Responsibilities
Design and iterate agent strategies for health content generation; Build automated inspection and self-evolution mechanisms; Optimize task scheduling and intelligent routing for core agent tools; Establish Harness engineering systems for quantifying model/strategy impact; Lead rapid experimentation and scaling of new LLM/Agent technologies in health scenarios
Seniority
Senior, hands-on IC
