AI ENGINEER

Investment Company of the People’s Republic of China (Singapore) Pte Ltd is a fully owned subsidiary of the People’s Bank of China. The company manages a part of foreign exchange reserve within the scope authorized by the People’s Bank of China, undertakes and transacts various kinds of investment businesses.

Job Description:

• Research developments in large language models, AI tools and the vendor landscape, and assess their relevance and value to the company.
• Compare on-premise open-source models with external APIs on performance, cost and data security, and recommend the right option for each use case.
• Establish the company's AI usage policy and AI data governance framework.
• Plan, design and build the company's enterprise AI platform, providing secure, governed and unified access to both on-premise and external AI capabilities across the organisation.
• Lead AI security, safeguarding the company's AI systems, models and data against emerging threats.
• Deploy and maintain on-premise model inference services and plan GPU and hardware resources.
• Manage external API access, keys, quotas and costs, and route requests between on-premise and external models by use case.
• Monitor availability, response time, usage volume and cost of AI services.
• Work with business units to identify pilot use cases and build prototypes such as knowledge base Q&A (RAG), document processing and workflow automation.
• Measure pilot outcomes and report to management with recommendations on whether to scale up.

Requirements:

• Bachelor's degree or above in Computer Science, Information Technology or a related field.
• Hands-on experience (work or personal projects) deploying open-source LLMs on-premise (e.g. Ollama, vLLM), with an understanding of model quantisation and hardware requirements.
• Hands-on experience (work or personal projects) with at least one major LLM API; familiar with RAG, vector search and prompt design.
• Proficient in Python; able to build backend services and APIs independently.
• Familiar with Docker and Linux, and with basic security concepts such as access control, logging and encryption.
• Strong research and writing skills; able to turn technical comparisons into clear reports for management.
• Self-driven and comfortable working in an exploratory role with evolving requirements.
• Experience building an internal AI platform, AI gateway or knowledge base; familiarity with agent frameworks (e.g. LangGraph, LangChain); knowledge of the PDPA or AI governance frameworks.
  

Interested applicants may apply bysending in your updated resume to [email protected]