大语言模型Agent应用架构工程师 - Seed Model
Core
Design and implement agent architectures for core scenarios in products like Doubao, enabling information retrieval, creation, and memory capabilities in conversational robots.
Role type
Senior IC LLM Agent Application Architect
Builds
Online large-scale agent applications, context engineering solutions, and tool designs for office and general AI applications.
Domain
Generative AI, Large Language Models (LLM), Agent Systems
Deliverable
production ML models
Required skills
LLM training/inference algorithms and architecture, Agent system design, C++, Golang, Python, data structures, algorithms, system design, API development, code quality control
Preferred skills
Deep understanding of latest AI/Agent developments, strong problem-solving skills, ability to collaborate across teams
Technologies
C++, Golang, Python
Responsibilities
Design and implement agent architectures for core product scenarios; Develop context engineering and tool designs for deep AI applications; Solve infrastructure challenges for online large-scale agents (reliability, latency, cost); Collaborate with model training teams to optimize training infrastructure and efficiency tools.
