AI Engineer

INVESTMENT COMPANY OF THE PEOPLE'S REPUBLIC OF CHINA (SINGAPORE) PTE LTD; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Investment Company of the People's Republic of China (Singapore) Pte Ltd seeks a hands-on AI platform engineer to research LM models, compare on-premise vs API options, and establish governance. You will design and deploy an enterprise AI platform with secure, governed access across the organisation and lead AI security efforts.

You will deploy on-premise inference services, manage GPUs, monitor costs, and collaborate with business units on pilots such as RAG, document processing and workflow

Qualifications

• Bachelor's degree or higher in Computer Science, Information Technology or related field.
• Hands-on experience deploying open-source LLMs on-premise (e.g. Ollama, vLLM) and understanding of quantisation.
• Hands-on experience 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; 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 in exploratory roles with evolving requirements.
• Experience building an internal AI platform, AI gateway or knowledge base; familiarity with agent frameworks (LangGraph, LangChain); knowledge of PDPA or AI governance frameworks.

Responsibilities

• Research developments in large language models, AI tools and vendor landscape.
• Compare on-premise models vs external APIs for performance, cost and data security; recommend options.
• Establish AI usage policy and data governance framework.
• Plan, design and build enterprise AI platform with secure, governed access.
• Lead AI security; safeguard AI systems, models and data.
• Deploy and maintain on-premise model inference services; plan GPU/hardware resources.
• Manage external API access, keys, quotas and costs; route requests by use case.
• Monitor availability, latency, usage and cost of AI services.
• Collaborate with business units on pilot use cases (RAG, document processing, workflow automation).
• Measure pilot outcomes and report recommendations to management on scaling.

Skills

Python

LLM API usage

RAG / vector search

Prompt design

On-prem deployment

Docker

Linux

Security basics (access control, logs,

AI governance & PDPA knowledge

Reporting & documentation

Self-driven / exploratory work

API backend development

Knowledge of enterprise AI platforms

LangGraph / LangChain familiarity

Education

Bachelor's degree or above in CS/IT or related field

Tools

Ollama

vLLM

LangGraph

LangChain

Job description

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.