Agent技术研发工程师-豆包
Core
Develop creative AI agents and foundational capabilities (Multi-Agent frameworks, evaluation) to enhance large model applications in creative scenarios.
Role type
Senior IC machine-learning engineer (agent systems)
Builds
Creative AI agents, evaluation systems, and developer toolkits for agent technology
Domain
Generative AI / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, Java, or Go; Large Language Model (LLM) principles and applications; Agent system design and implementation; Memory mechanisms; RAG; Tool calling; Planning and execution
Preferred skills
Reinforcement learning; Planning algorithms; Academic paper reproduction; Open-source contributions
Technologies
Multi-Agent frameworks, RAG, LLMs
Responsibilities
Design and implement efficient agent development toolkits; Build agent evaluation systems; Explore innovative agent methodologies and paradigms
