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大模型知识底座与智能体(Agent)专家 北京 全职 研发 - 算法 职位描述 1. 主导企业级知识底座建设: 负责 ToB 业务场景下核心知识库与 RAG(检索增强生成)系统的数据体系搭建,建立高效、高准确度的企业私有文档知识加工流水线;2. 优化 Agent 落地效果: 针对 Tool Learning(工具调用)、Task Planning(任务规划)、Reflection(自我反思)等复杂智能体场景,设计并构建全链路的指令交互与多轮对话数据支撑,提升模型在 B 端业务中的实际交付表现;3. 沉淀行业专家知识: 负责将结构化(数据库、API)与非结构化(文档、知识库)的企业核心资产转化为大模型可理解的高质量对齐数据,推进长文本检索、多源检索及拒答机制的落地;4. 全链路数据精细化治理: 设计并实现自动化数据清洗、Chunk 切片优化、指令微调(SFT)样本及偏好(DPO/GRPO)数据的治理方案,通过实验指标驱动知识底座的迭代升级;5. 支持 ToB 项目交付: 深入理解 B 端客户的实际业务痛点(如准确率要求高、容错率低等),与产品和交付团队紧密配合,确保模型与底座能力高效、高质地落地到客户生产环境中;6. 技术前沿跟踪: 跟踪大模型知识工程、Agent 架构及自动化数据生产领域的最新进展,并结合 B