[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 · Chengdu # 企业微信-大模型算法工程师-Agent应用（广州/北京） Chengdu 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=1976549654753599488) [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应用（广州/北京） ## Job description ### Responsibilities - 负责构建具备自主决策、协作与工具调用能力的多智能体系统（Multi-Agent System），推动大模型从"对话式 AI"向"任务执行体"演进，解决自动化经营、服务等复杂场景下的自动化问题； - 深入研究并应用 LLM 的复杂推理技术，持续优化办公场景中长链路、高难度任务的执行效果，赋予 Agent 独立探索与解决问题的能力； - 主导企微现有能力的 Agent 化改造与对外能力开放，推动 Agent 在企业对外服务、内部经营等复杂场景中的深度落地； - 运用规划、推理与上下文工程等方法，提升大模型的指令遵循能力，以及知识边界探索与抗干扰能力。 Requirements - 计算机、机器学习等相关专业，硕士及以上学历，具备扎实的计算机与算法基础； ### 对大模型和 Agent 有较深入理解 - 熟悉主流 Agent 架构与范式（Multi-Agent 架构，ReAct / Plan-and-Act / CodeAct 等推理-行动范式）、上下文工程与管理（Context Engineering / Management）；熟悉常见的 LLM 应用范式、提示工程、评估框架、Agent 框架与检索（RAG）框架； - 具备多智能体系统、复杂任务 Agent、办公 / 经营服务场景的落地经验，或熟悉 Post-training（SFT、RL）训练优化者优先； - 在 ACL、EMNLP、NeurIPS 等顶尖会议上发表过论文，或为优秀机器学习开源项目做出过贡献者优先。 ## 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: Chengdu[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=1976549654753599488) ## More jobs at Tencent Holdings ### [AI 原生多模数据库内核研发工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/eb69abf322a31c9b653e/) Chengdu ### [AI 原生多模数据库管控研发工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/b647a6aa0a4ef45f2732/) Chengdu ### [《QQ三国》游戏运营](https://jobs.opennash.com/companies/tencent-holdings/jobs/d6fb502cd98698b37e05/) Chengdu ### [《王者万象棋》客户端高级开发工程师-包体优化方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/c702e76e636622fa99b0/) Chengdu ### [《王者万象棋》服务器开发工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/e1731d4ae968af53fa5f/) Chengdu ## 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/)