Lenovo
Advisory Researcher, Foundation Model
Skills
2 months ago
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Important information
Location:
Beijing, China
Work mode:
Onsite
Published on:
25 August 2026
What they need
General Information
Req #
100017542
Career area:
Artificial Intelligence
Country/Region:
China
State:
Beijing
City:
北京(Beijing)
Date:
Tuesday, August 25, 2026
Additional Locations:
- China
Why Work at Lenovo
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).
To find out more visit www.lenovo.com and read about the latest news via our StoryHub.
Description and Requirements
Responsibilities:
- Lead the engineering implementation of core agent capabilities on the device side.
- Advance task orchestration, tool invocation, memory management, context control, and multi-scenario integration.
- Explore the extension of agent capabilities from screen manipulation to device control.
- Support key business initiatives from PoC to large-scale deployment.
Requirements
- Master's degree or higher in Computer Science or a related field.
- 4+ years of relevant experience.
- Proficient in LLM/Agent application development, prompt engineering, and workflow design.
- Familiar with the MCP protocol, skill registration mechanisms, function calling, and the ReAct pattern.
- Knowledge of mainstream agent frameworks (e.g., LangGraph, etc.).
- Experience with on-device or mobile engineering, with the ability to independently drive the implementation of complex agent functionalities, as well as performance and stability optimization.
Additional Locations:
China
China
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