Lead AI Engineer — Enterprise AI, RAG & MLOps

Crossings Executive Search

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

12 days ago
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Job summary

Crossings Executive Search partners with a leading financial institution in Hong Kong to appoint a Lead AI Engineer. Design AI applications using RAG, workflows and AI agents, and drive production-ready solutions from prototype through SDLC.

You will integrate APIs/MCPs to power AI services and work with business teams to translate requirements into scalable outcomes. The ideal candidate has 8+ years in data science, software or AI engineering, hands-on RAG experience, and strong MLOps/LLMOps

Qualifications

  • University degree in computer science, software engineering, or related fields.
  • 8+ years of experience in data science, software engineering or AI engineering.
  • Experience in delivery of RAG application.
  • Experience with MLOps/LLMOps in a large scale enterprise environment.
  • Experience with SDLC and system design is preferable.
  • Excellent communication and interpersonal skills.
  • Fluent in English and Chinese.

Responsibilities

  • Design AI applications with AI Technologies such as RAG, workflow and AI agent.
  • Develop AI applications from prototyping stage to production with proper evaluation and testing throughout the SDLC.
  • Integrate services with internal and external APIs / MCPs to power AI applications.
  • Work closely with the business to translate requirements to business solutions

Skills

Communication skills
Bilingual English and Chinese
RAG application delivery
MLOps/LLMOps
System design

Education

University degree in Computer Science or related fields

Job description

Crossings Executive Search partners with a leading financial institution in Hong Kong to appoint a Lead AI Engineer. Design AI applications using RAG, workflows and AI agents, and drive production-ready solutions from prototype through SDLC.

You will integrate APIs/MCPs to power AI services and work with business teams to translate requirements into scalable outcomes. The ideal candidate has 8+ years in data science, software or AI engineering, hands-on RAG experience, and strong MLOps/LLMOps

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