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Advisory Researcher, Foundation Model

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Onsite

Advisory Researcher, Foundation Model

Lenovo

Advisory Researcher, Foundation Model

Skills

ReactAI

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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