Agent技术研发工程师-豆包
Core
Design and build foundational Agent technologies (Multi-Agent frameworks, Memory mechanisms) and specialized domain Agents (retrieval, creation, deep research) to enhance LLM capabilities in specific scenarios.
Role type
Senior IC machine-learning engineer (Agent systems)
Builds
Production-ready Agent frameworks, specialized domain Agents, and developer toolkits for Agent creation.
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, Java, or Go; LLM architecture and application; Agent system design; Memory mechanisms; RAG; Tool use; Planning and execution; Reinforcement learning; Algorithm design
Preferred skills
Engineering papers from top conferences; Open-source contributions; Rapid prototyping of research papers
Technologies
LLMs, RAG, Reinforcement Learning, Multi-Agent Systems
Responsibilities
Develop information retrieval, creation, and deep research Agents; Design and implement efficient Agent development toolkits; Explore innovative Agent methodologies; Build evaluation frameworks for Agents.
Seniority
Senior, hands-on IC