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AI Engineer at Willis Limited, trading as Willis Towers Watson plc 
Hong Kong, Hong Kong Island, Hong Kong S.A.R. -
Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Engineering, LLMs, Data Integration, MLOps, Machine Learning, Data Privacy, Backend APIs, Data Mining, Retrieval-Augmented Generation, Multi-Agent Systems, Multimodal LLMs, CI/CD Pipelines, Quantitative Investment, Cryptocurrency Markets

Industry

Financial Services

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.

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Responsibilities
The AI Engineer will design, implement, and deploy AI-driven applications, focusing on fine-tuning and deploying LLMs with complex datasets. They will also develop specialized servers for industry-specific data and maintain backend APIs for efficiency and scalability.