WorkBuddy-Agent Harness 研发工程师
Core
Research and engineering role optimizing the WorkBuddy Harness for real-world task performance through autonomous evolution, context engineering, and multi-agent coordination.
Role type
Senior Research and Engineering IC (AI Agents)
Builds
Self-evolving agent SDKs, evaluation datasets, and multi-agent collaboration frameworks
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
LLM and Agent architecture expertise, Rust/Go/C++ programming, high-performance system development, context engineering, multi-agent coordination, long-term memory mechanisms, evaluation framework design
Preferred skills
Experience with MCP, programmatic tool calling, prefix caching, model inference optimization
Technologies
Transformer, Rust, Go, C++, MCP, LLMs
Responsibilities
Drive 0-to-1 research exploration and full-stack implementation of agent capabilities; define evaluation standards and build benchmark datasets; optimize context organization and token efficiency for complex scenarios; research long-horizon decision-making and self-evolution mechanisms for agent clusters
Seniority
Senior, hands-on IC
