AI Engineer / Software Engineer / ML Engineer

Salary
HK$600,000 - HK$800,000 - Per Year
Location
Malaysia
Type
Permanent
Published
Jul 7, 2026
Ref
172074
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📍 Location: Flexible (South East Asia)
💼 Employment Type: Permanent


About the Role

We are partnering with a leading global insurance organization that is embarking on a major AI transformation journey. As part of a rapidly expanding technology team, they are looking for passionate and innovative engineers to help build the next generation of AI-powered products and platforms.

This is a unique opportunity to work on large-scale AI initiatives, developing intelligent solutions that will transform customer experiences and business operations on a global scale.


Key Responsibilities

  • Design, develop, and maintain scalable cloud-native applications using modern technologies.
  • Build and enhance AI-powered solutions, including customer-facing and operational automation platforms.
  • Collaborate with AI, data, and engineering teams to deliver innovative products and services.
  • Develop and integrate APIs, microservices, and event-driven architectures.
  • Participate in the design and implementation of cloud infrastructure and CI/CD pipelines.
  • Contribute to system architecture discussions and promote engineering best practices.
  • Work within Agile delivery teams to drive continuous improvement and innovation.

Requirements

Technical Skills & Experience

  • Minimum 3 years of experience in Machine Learning Engineering, Generative AI, and Large Language Model (LLM) technologies.
  • Strong hands-on experience with LLM workflows and frameworks (such as LangChain, LangGraph, etc).
  • Solid understanding of AWS cloud services and cloud-native architecture.
  • Experience with Terraform or other Infrastructure-as-Code (IaC) tools.

Preferred Attributes

  • Passion for emerging AI technologies and innovation.
  • Strong problem-solving and communication skills.
  • Experience working in Agile development environments.
  • Ability to collaborate effectively within cross-functional teams.

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