AI Agent开发工程师
Core
Research, design, and development of AI Agents, building core capabilities including tool/function calling, multi-turn reasoning, memory mechanisms, and multi-agent collaboration.
Role type
AI Agent Research and Development Engineer
Builds
AI Agent systems with tools, reasoning, and memory for business scenarios
Domain
Artificial Intelligence / Large Language Models / Multi-Agent Systems
Deliverable
production ML models
Required skills
Python, Java, Transformer architecture, attention mechanisms, RAG, knowledge graphs, multi-agent collaboration, task decomposition, AI evaluation metrics, prompt engineering, distributed training frameworks
Preferred skills
Programming with Harness Engineering, ReAct/CoT reasoning paradigms, LangChain/LlamaIndex/AutoGen/CrewAI frameworks, open-source LLM contributions (LLaMA, ChatGLM, InternLM), Megatron/DeepSpeed experience
Technologies
Python, Java, LangChain, LlamaIndex, AutoGen, CrewAI, Megatron, DeepSpeed, OpenCode, Claude Code, Cursor
Responsibilities
Design and develop AI Agent core capabilities; implement advanced reasoning and memory mechanisms; optimize agent performance, stability, and cost efficiency; scale AI Agent deployment in business scenarios
Seniority
Mid to Senior, hands-on IC