[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/) Tencent Holdings · Guangzhou # 企业微信-大模型算法工程师-Agent记忆系统（北京/成都） Guangzhou Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there. [Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=1976128396710797312) [OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 企业微信-大模型算法工程师-Agent记忆系统（北京/成都） ## Job description ### Responsibilities - 负责 AI 在企业微信场景落地的核心系统建设，包括 LLM/Agent 记忆系统、上下文工程、图谱构建的设计与实现，支撑跨会话、长周期的个性化交互； - 完成结构化/非结构化数据的信息压缩、知识提炼与关系推理；构建分层记忆架构，实现记忆写入、检索、更新、遗忘与冲突消解的全生命周期管理； - 设计并实现 Agent 自进化体系，让 Agent 从交互反馈与失败案例中自动沉淀Skill，推动能力自主迭代； - 持续跟踪并引入记忆系统、上下文管理、自进化 Agent 等前沿技术，推动技术在实际业务的创新应用。 Requirements - 计算机、人工智能、数学等相关专业背景，2 年以上相关领域工作经验； - 熟练掌握 AI 领域主流模型与技术（如 Transformer、大语言模型、RAG、Agent、记忆系统等），具备实际项目开发经验；在 Agent 记忆系统、知识图谱、上下文工程或 Agent 自进化/自学习方向有落地经验者优先； - 熟练掌握 Python，熟练使用主流深度学习框架，具备扎实的算法实现与工程优化能力； - 具备复杂系统的抽象与工程化能力，能将记忆检索、图谱推理、Skill 调度等模块高效集成到线上 Agent 系统中； - 在 ICLR、NeurIPS、ICML、ACL、EMNLP 等顶尖会议发表过论文，或为优秀机器学习开源项目贡献者优先。 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 92 days - Location: Guangzhou[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=1976128396710797312) ## More jobs at Tencent Holdings ### [《逆战：未来》-关卡策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/3fd6daca74f05f339c14/) Guangzhou ### [企业微信-AI Agent Harness 全栈工程师-（成都）](https://jobs.opennash.com/companies/tencent-holdings/jobs/b25acf36158f5448bdfd/) Guangzhou ### [企业微信-AI产品经理-微信互通方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/f5c8e376f2d87fe5aa9a/) Guangzhou ### [企业微信-AI产品经理-效率办公 AI](https://jobs.opennash.com/companies/tencent-holdings/jobs/504e9a531b2cc6c30245/) Guangzhou ### [企业微信-AI产品经理-智能助理Agent](https://jobs.opennash.com/companies/tencent-holdings/jobs/8464e085c5a447646f31/) Guangzhou ## Similar jobs at other companies ### [大模型算法工程师-实习](https://jobs.opennash.com/companies/xiaomi/jobs/213a1b9f5784b73bb705/) Xiaomi · 武汉 ### [大模型算法工程师](https://jobs.opennash.com/companies/midea-group/jobs/668f44517e0f3c6ddbe2/) Midea Group · 佛山市 +1 more ### [大模型算法工程师-Airc](https://jobs.opennash.com/companies/midea-group/jobs/5dd2365ab68184fd57df/) Midea Group · 上海市 ### [大模型算法工程师-运筹方向](https://jobs.opennash.com/companies/sf-holding/jobs/55bec1d5db69b929731c/) S.F. Holding · 广东省/深圳市 ### [大模型算法工程师-群体智能方向](https://jobs.opennash.com/companies/sf-holding/jobs/15895c0f9da86b7c8c12/) S.F. Holding · 广东省/深圳市 OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)