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Tencent Holdings · Shenzhen

# 智能体- Agent Harness 全栈工程师- WorkBuddy/CodeBuddy

Shenzhen 

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=2098252336337170432)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 智能体- Agent Harness 全栈工程师- WorkBuddy/CodeBuddy

## Job description

### Responsibilities
- 负责 Agent Harness AI 基础设施的全栈开发与架构设计，支撑上层多产品的核心能力落地；
- 独立完成从前端交互、后端服务、数据存储到部署运维的端到端实现，打通从想法验证到生产可用的完整链路；
- 构建 Harness 基础设施的开发者工具与可视化界面，包括但不限于执行轨迹回放、上下文编排器、工具注册中心、评测数据管理后台等；
- 与算法/产品团队紧密协作，将 Context Engineering、Long-term Memory、Multi-Agent Coordination 等研究成果工程化落地到基础设施层，保障系统稳定性、可扩展性与 token efficiency；
- 持续优化 Harness 运行时与工程架构，探索 prefix cache、流式输出、任务队列、沙箱执行、可观测性等关键工程机制；
- 以真实用户任务表现为反馈，不断迭代 Harness 基础设施的易用性与开发者体验。 Requirements
- 计算机相关专业本科及以上学历；
- 对 AI 行业有极大的热情，我们相信兴趣是最好的老师；
- 具备扎实的全栈工程能力，熟悉 TypeScript/JavaScript、Python 或 Go 等至少一种语言，掌握 React/Vue 等前端框架与 Node.js/Python 后端框架，了解 PostgreSQL/Redis 等常见数据存储；
- 了解 LLM 与 Agent 的底层机制与技术原理，涵盖 Transformer 基础、model inference、function calling、context window/compaction、MCP、agent memory、multi-agent 等；
- 深度使用过一种或多种 Agent 工具，理解 AI 开发者工具的交互模式与产品逻辑；
- 可借助 AI 工具快速学习陌生领域知识，敢于承接未知技术挑战；
- 有良好的工程品味，重视代码质量、自动化测试、文档建设与开发者体验；具备英文文献阅读能力。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2098252336337170432)

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