Agent策略工程师（J107063）
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 domain)
Builds
Automated health content generation agents with 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, Task scheduling and intelligent routing
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 multi-tool collaboration and intelligent routing; Establish Harness engineering systems for evaluation and stability; Lead rapid experimentation and scaling of new LLM/Agent technologies.
