Agent技术研发工程师-豆包
Core
Design and develop Agent architectures for office productivity and general complex tasks, including Multi-Agent frameworks and long-task harnesses.
Role type
Senior IC Agent Research Engineer
Builds
Multi-Agent frameworks, complex context management systems, and long-task execution harnesses for office productivity tools.
Domain
AI / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, Java, or Go, Computer Science fundamentals, LLM architecture and principles, Agent system design, Memory mechanisms, RAG, Tool use, Planning and execution
Preferred skills
AI-native application development, Rapid research reproduction, Top-tier conference publications, Open-source contributions
Technologies
LLMs, RAG, Multi-Agent Systems
Responsibilities
Design Multi-Agent frameworks and complex context management systems, Explore innovative Agent paradigms to lead industry development, Build efficient development toolkits to lower Agent adoption barriers
