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Data Scientist

AI LLM Technology Architecture Associate Manager | Mid-Level | Full time
Job No. 14477300 | Shanghai
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学历要求: 硕士及以上(计算机、AI、NLP、数学、统计等相关专业优先)
工作经验: 3年以上 AI/算法研发经验,具备企业级 LLM 或 Agent 系统落地经验

职位介绍

作为团队核心 AI 算法专家,你将面向生命科学、智能制造、快消及高科技等行业客户,负责企业级 AI 解决方案的设计与落地。你需要能够将复杂业务问题拆解为可执行的 AI 方案,并推动从 PoC 到生产环境的完整交付。

岗位职责

  • 负责企业级 LLM、Agent 及知识增强(RAG/GraphRAG)系统的设计、开发与优化。
  • 设计并实现多智能体(Multi-Agent)协作、工具调用(Tool Use)、记忆管理(Memory)等核心能力。
  • 结合业务场景构建机器学习、深度学习或生成式 AI 解决方案。
  • 与客户、业务专家、产品及工程团队协作,完成需求分析、方案设计及项目交付。
  • 跟踪前沿 AI 技术发展,推动新技术验证与落地。

任职要求

必备条件

  • 精通 Python,具备扎实的机器学习、深度学习及统计学基础。
  • 具备企业级 LLM 或 Agent 系统研发经验,熟悉 Prompt Engineering、Agentic Workflow、Tool Calling、PEFT(LoRA/QLoRA)、RL等技术。
  • 具备 Client Facing 经验,能够独立完成需求沟通、方案设计及客户技术交流。
  • 良好的软件工程能力,熟悉 Git 及团队协作开发流程。
  • 具备较强的问题拆解能力、沟通能力及项目推动能力。

加分项

  • 对 Ontology、Knowledge Graph、Taxonomy 等知识体系有深入理解或实际落地经验。
  • 具备 RAG、GraphRAG、Knowledge-Augmented Agent 等系统设计经验。
  • 熟悉 Multi-Agent、Context Engineering、Memory Management、Agent Governance 等方向,并有落地经验。
  • 熟悉 MCP、A2A 等 Agent 协议或相关生态,并有实际开发经验。
  • 具备生命科学、智能制造、快消或高科技行业项目经验。
  • 参与过开源项目或在技术社区有持续贡献。

Shanghai

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