GenAI Safety & Governance Engineer for LLM Systems

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NTU in Singapore hosts an AI Safety & Governance Engineer role within the AI Singapore (AISG) SAGE function. The engineer will run automated LLM safety tests, perform red teaming, review agentic, multimodal and RAG architectures for vulnerabilities, and mentor AIAP apprentices.

They will document vulnerabilities with severity and remediation guidance, support AI safety standards, and share knowledge through talks and workshops as part of Singapore's national AI safety efforts.

Qualifications

• Degree in a relevant field; strong CS/software background preferred.
• Experience with LLM/GenAI systems and prompt engineering.
• Proficient in Python; familiar with testing frameworks and security practices.

Responsibilities

• Execute automated LLM safety testing pipelines integrated with CI/CD before delivery.
• Conduct red teaming and adversarial testing for LLM/GenAI systems.
• Review system architectures for security vulnerabilities and provide secure design guidance.
• Document vulnerabilities with severity, reproduction steps, and remediation guidance.
• Support compliance with AI safety standards and governance frameworks.
• Mentor AIAP apprentices on responsible AI practices within SAGE.
• Contribute to community-building activities and knowledge sharing.

Skills

LLM/GenAI Systems

Security Testing

Systems Design

Software Engineering

DevOps & Automation

Documentation

Collaborative Mentor

Education

Bachelor's degree or higher

Tools

Git

Docker

CI/CD

Job description

NTU in Singapore hosts an AI Safety & Governance Engineer role within the AI Singapore (AISG) SAGE function. The engineer will run automated LLM safety tests, perform red teaming, review agentic, multimodal and RAG architectures for vulnerabilities, and mentor AIAP apprentices.

They will document vulnerabilities with severity and remediation guidance, support AI safety standards, and share knowledge through talks and workshops as part of Singapore's national AI safety efforts.