AI Agent Harness优化专家/工程师-TRAE
Core
Design and optimize the multi-agent framework, scheduling strategies, and context engineering for TRAE to enhance end-to-end problem-solving capabilities in real-world development scenarios.
Role type
Senior IC AI Agent Systems Engineer
Builds
Multi-agent orchestration systems, model adaptation pipelines, and context retrieval mechanisms for code intelligence
Domain
AI Coding / LLM Applications / Software Engineering
Deliverable
production ML models
Required skills
Multi-agent framework design, Prompt engineering, Context engineering, Model adaptation, Experiment design, Data structure and algorithms
Preferred skills
Tool-use orchestration, Agentic workflow planning, Automated evaluation platform construction, Developer experience (DX) optimization
Technologies
Golang, Python, LLMs, Code repositories, Issue tracking systems
Responsibilities
Design and iterate multi-agent frameworks and scheduling strategies; Adapt models and design prompt/pipeline systems for code intelligence; Build context engineering solutions for multi-source information retrieval; Define metrics and analyze agent performance; Research and innovate on LLM and Agentic Workflow advancements