北京-Agent Harness 研发工程师(J100815)
Core
Design and develop the core technical architecture for Agent Harness to enable stable LLM capabilities in real-world business scenarios.
Role type
Senior IC machine-learning engineer (AI Agent systems)
Builds
Production Agent Harness systems supporting long-running, high-complexity agent execution
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
PyTorch, LangChain, AutoGen, ReAct, CoT, Plan-and-Execute, state management, sandbox environment design, context management, feedback loop design, model behavior analysis
Preferred skills
Open source contributions to AI Agent projects, early-stage product building experience, top-tier conference publications, technical competition awards
Technologies
PyTorch, LangChain, AutoGen
Responsibilities
Design and develop the core technical architecture for Agent Harness; Build system support for agent readability, controllability, and verifiability; Optimize LLM and Harness joint performance; Design and implement human-agent collaboration mechanisms
Seniority
Senior, hands-on IC