Lenovo
Android 智能体开发工程师
- China · On-site
- Salary not published
- Posted 3 weeks ago
From Lenovo's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Lenovo
From Lenovo's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
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岗位职责：
1、负责端侧智能体服务与Android各类应用的能力打通与集成，推动智能体跨App联动能力建设，支撑端侧智能体技术底座在各业务场景中的落地应用。
2、对接业务需求，负责原子工具能力的调研、设计与开发，解决接入过程中涉及的Android系统适配、权限管理、交互设计等技术问题。
3、深入理解智能体底层技术原理，结合Android终端场景进行技术方案设计、能力验证及功能落地。
4、基于智能体服务能力评估业务需求可行性，针对现有能力缺口设计并构建对应的原子工具能力，持续完善智能体能力体系。
5、持续优化移动端智能体执行链路，提升跨应用任务执行效率、稳定性及用户体验。
6、主动推动项目进展，识别业务及技术风险，制定并落地优化方案，保障项目按计划推进。
7、与业务、产品及研发团队保持紧密协作，输出技术解决方案，跟踪项目进展并推动跨团队高效协同。
8、参与端侧智能体生态建设与推广，推动智能体能力在更多业务场景中的创新应用与实践。
岗位要求：
1、具备扎实的Android开发基础，熟悉Android系统架构、应用生命周期、系统机制及性能优化相关内容。
2、熟悉Android应用间通信机制、权限管理体系及系统能力调用方式，具备App互通或系统能力扩展开发经验。
3、理解AI智能体核心技术原理，包括任务规划、工具调用、记忆管理以及Agent执行链路等关键能力。
4、具备基于智能体平台评估业务需求可行性并完成技术落地的能力，有Agent相关项目实践经验者优先。
5、具备良好的技术方案设计能力，能够独立分析并解决复杂技术问题。
6、具备优秀的沟通协调能力和需求理解能力，能够高效推动跨团队合作与项目落地。
7、具备较强的责任心、自驱力和结果导向意识，能够主动推进项目并持续优化产品体验。
8、关注端侧AI及智能体技术发展趋势，对智能体生态建设和业务应用落地具有浓厚兴趣。
9、具有Android无障碍服务、悬浮窗、跨应用数据获取与交互或系统层能力开发经验者优先。
10、具有端侧大模型、移动端Agent或相关AI应用落地实践经验者优先。
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