AI Agent & Large-Model Platform Lead

China Mobile Hong Kong Company Limited; Hong Kong Island; Presencial; HKD 900 000 - 1 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Discretionary Performance bonus

Life insurance

Medical insurance

Birthday gift

Marriage leave

Birthday leave

Resumo da oferta

CMHK in Hong Kong is seeking a senior architect to lead the core technical architecture design of large model platforms and AI applications, delivering milestones and integrating with external AI ecosystems.

You will build high-performance workflow engines, design middle/agent platforms, oversee full lifecycle projects, and drive R&D of low-code/no-code AI workflows, with emphasis on GPU scheduling and Kubernetes.

Qualificações

• 5+ years of relevant working experience.
• Bachelor’s degree or above in Computer Science, IT, software engineering or related disciplines.
• Expertise in high-concurrency and microservice architecture; Kubernetes and GPU scheduling preferred.

Responsabilidades

• Lead architecture design of large model platforms and AI applications.
• Build high-performance workflow engines and model scheduling systems.
• Design architecture for large model middle/agent platforms (Gateway, Routing, RAG, Cache).
• Drive R&D of low-code/no-code AI workflow engines for orchestration across Prompt, Agent, Tools, APIs.

Conhecimentos

High concurrency

Microservice architecture

Kubernetes ecosystem

GPU scheduling

LLM API calling

Streaming SSE

Function Calling

Workflow engine

LangChain

LlamaIndex

vLLM

Formação académica

Bachelor’s degree in Computer Science or related disciplines

Ferramentas

Kubernetes

GPU computing

LangChain

LlamaIndex

vLLM

TensorRT-LLM

Descrição da oferta de emprego

CMHK in Hong Kong is seeking a senior architect to lead the core technical architecture design of large model platforms and AI applications, delivering milestones and integrating with external AI ecosystems.

You will build high-performance workflow engines, design middle/agent platforms, oversee full lifecycle projects, and drive R&D of low-code/no-code AI workflows, with emphasis on GPU scheduling and Kubernetes.