AI Engineer

Hong Kong - Hong Kong

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

Key Responsibilities

Design implement and deploy AI-driven applications
Fine-tuning and deployment of LLMs ensuring integration with large-scale complex datasets.
Develop and integrate specialized servers (e.g. MCP) tailored to industry-specific data such as insurance claims premium records customer risk scores and more.
Leverage advanced AI/LLM techniques such as Retrieval-Augmented Generation (RAG) multi-agent systems multimodal LLMs and MCP platforms to deliver innovative features and business value.
Develop and maintain backend APIs ensuring high efficiency scalability and reliability.
Prepare and process complex datasets for effective AI integration ensuring compliance with data privacy and regulatory requirements.
Build data-mining pipelines for large-scale databases and implement machine learning models.
Apply MLOps principles including CI/CD pipelines to streamline AI development and deployment workflows.
Conduct research on LLM and multi-agent system applications in quantitative investment and cryptocurrency markets.

Responsibilities

Qualifications

Qualifications

Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
3 years of hands-on experience in AI infrastructure LLMs and enterprise AI solution development.
Proficiency in Python
Experience with regulatory compliance data privacy and integration of enterprise IT systems.
Excellent communication teamwork and problem-solving skills.

What can we offer you

In return you will be rewarded with a competitive salary and a comprehensive benefits package including: a fantastic pension scheme life insurance medical insurance and flexible benefits including dental cover additional life assurance and many other options and Corporate deals. We also adopt a hybrid working arrangement whereby a combination of work-from-home and in office is adopted.

WTW is an equal opportunity employer.

Required Experience:

DescriptionKey ResponsibilitiesDesign implement and deploy AI-driven applicationsFine-tuning and deployment of LLMs ensuring integration with large-scale complex datasets.Develop and integrate specialized servers (e.g. MCP) tailored to industry-specific data such as insurance claims premium records ...