抖音生态治理策略（大模型方向）运营-抖音
Core
Build and optimize content ecosystem governance mechanisms for Douyin short videos using a Multi-Agent system and Large Language Models (LLMs) to automate risk identification, content analysis, and governance workflows.
Role type
Senior LLM Application Operations Engineer (Content Governance & Multi-Agent Systems)
Builds
Automated content governance agents, evaluation frameworks, and knowledge/sample databases for ecosystem risk management.
Domain
Social Media / Content Moderation / AI Operations
Deliverable
production ML models
Required skills
Multi-Agent system architecture, Prompt Engineering (PE), LLM application iteration, Python programming, Automated workflow design, Risk identification logic, Content analysis, Root cause analysis, Version management, Regression testing.
Preferred skills
Experience with reinforcement learning, Context engineering, AI Agent project delivery, Structured expression design.
Technologies
Python, LLMs, Multi-Agent Systems, Workflow automation tools.
Responsibilities
Optimize traffic allocation mechanisms via Multi-Agent systems; Build and iterate governance knowledge/sample databases and evaluation systems; Explore automated labeling and assessment processes; Define and operationalize Agent tasks for content pain points (recall, severity analysis, attribution).
