[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 # 微信-AI应用开发工程师 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=2040982131504738304) [OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 微信-AI应用开发工程师 ## Job description ### Responsibilities - 负责 Agent Runtime 及执行基础设施的设计与开发，构建支持复杂任务、多步骤推理、多轮工具调用的 Agent 执行引擎； - 负责长程任务执行系统建设，解决任务状态持久化、Checkpoint、断点恢复、失败重试、超时控制、任务取消等核心问题，保障 Agent 任务可靠运行； - 负责异步任务调度、工作流编排、事件驱动及执行环境隔离等基础设施建设，提升系统的稳定性、可扩展性和资源利用率； - 参与 Agent 核心机制研发，包括上下文管理、工具调用、任务规划、记忆管理及执行控制，探索 ReAct、Plan-and-Execute、Multi-Agent 等执行模式的工程化落地； - 跟进 Agent 领域的前沿技术，结合实际业务需求，持续优化 Agent 的执行效率、可靠性及规模化运行能力。 Requirements - 熟悉 C++ 等编译型语言，有一年及以上服务端开发经验，具备扎实的计算机基础、数据结构与算法功底； - 具备高并发、高可靠海量服务的开发经验，熟悉分布式系统、异步任务调度及故障恢复机制者优先； - 理解 Agent 基本原理与常见执行模式，熟悉 ReAct、Plan-and-Execute、Multi-Agent 等模式，有 Agent 应用或执行引擎开发经验者优先； - 有长程任务执行基础设施建设经验，熟悉任务持久化、Checkpoint、断点恢复、失败重试、幂等控制及工作流编排等技术者优先； - 有 Ray 等分布式计算框架开发经验，或 Temporal、LangGraph 等任务执行框架实践经验者优先； - 有 MCP、Tool Calling、Computer Use、Browser Agent 或代码执行沙箱等相关项目经验者优先； - 有 OI、ACM-ICPC 等算法竞赛背景者优先； - 热爱编程，喜欢钻研技术，愿意深入思考并解决复杂工程问题，对 Agent 技术及基础设施建设有热情。 ## 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=2040982131504738304) ## 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 ### [AI应用开发工程师](https://jobs.opennash.com/companies/china-telecom/jobs/02ff5409c7ed775d1b9d/) China Telecom · 乌鲁木齐市 ### [AI应用开发工程师（端边AI应用方向）](https://jobs.opennash.com/companies/china-telecom/jobs/fb35ed4018358a8edf7a/) China Telecom · 广州市 ### [AI应用开发工程师](https://jobs.opennash.com/companies/xiaomi/jobs/2f7c75bfc1734c054648/) Xiaomi · 武汉 ### [AI应用开发工程师](https://jobs.opennash.com/companies/crrc/jobs/964a52b114042d13e59d/) CRRC · 北京市 ### [服务零售-大模型/AI应用开发工程师](https://jobs.opennash.com/companies/meituan/jobs/04459eef9e1b50de205c/) Meituan · 上海市 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/)