Agent Harness工程师-AI数据与安全
Core
Design and optimize the Harness architecture for AI agent data synthesis, managing agent planning, tool orchestration, RAG, and long-context management to build a stable industrial-grade agent runtime.
Role type
Senior IC AI Agent Infrastructure Engineer
Builds
Industrial-grade AI agent runtime platform, evaluation pipelines, and observability tools
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, Go, Java, LangChain, LangGraph, Prompt Engineering, RAG, Tool Orchestration, CI/CD, Docker, Automated Testing
Preferred skills
0-1 industrial AI Agent project experience, Agent evaluation framework design, Multi-agent collaboration, Fault self-healing
Technologies
LangChain, LangGraph, Docker, CI/CD pipelines
Responsibilities
Design and optimize Harness architecture for agent planning and tool orchestration; Build agent quantification and quality control systems with automated evaluation pipelines; Establish full-link observability for execution tracking and anomaly alerting; Follow up on frontier agent technologies to iterate architecture for multi-agent collaboration.