AI Singapore (AISG) is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF).
AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts.
For more information on AI Singapore, please visit https://www.aisingapore.org.
This position will be hosted at the Nanyang Technological University (NTU) under VP (Artificial Intelligence & Digital Economy)’s office and we welcome you to join our community.
Duties & Responsibilities:
- Execute automated LLM safety testing pipelines integrated with GitLab CI/CD as mandatory gate before project delivery.
- Conduct red teaming and adversarial testing: prompt injection, jailbreaking, data leakage, RAG poisoning, multi-turn attacks.
- Review LLM system architectures (agentic, multimodal, RAG) for security vulnerabilities and provide design recommendations.
- Document vulnerabilities with severity ratings, reproduction steps, and remediation guidance.
- Support compliance with AI safety standards: ISO 42001, NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, Singapore Model AI Governance Framework.
- Train and mentor AIAP apprentices on responsible AI engineering during deep-skilling and project phases.
- Contribute to AI Singapore's community-building activities through talks, workshops, and documentation.
Requirements:
Degree with at least 2-4 years of work experience. Appointment at senior level may be considered based on relevant experience. We welcome applicants from all disciplines who can demonstrate the following skills:
- LLM/GenAI Systems: Working knowledge of LLM architectures, prompt engineering, RAG implementations, and API integration.
- Security Testing: Experience with vulnerability assessment, adversarial testing, or penetration testing. Understanding of LLM-specific vulnerabilities (prompt injection, jailbreaking, data leakage).
- Systems Design: Ability to review system architectures for security vulnerabilities and recommend secure design patterns for agentic, multimodal, and RAG applications.
- Software Engineering: Proficient Python skills with commitment to clean, maintainable code. Experience with testing frameworks (pytest, unittest).
- DevOps & Automation: Familiarity with Git, Docker, and CI/CD pipelines (GitLab or GitHub).
- Documentation: Strong technical writing skills for vulnerability reports and compliance evidence.
- Collaborative Mentor: Eager to guide AIAP apprentices and contribute to SAGE's supportive team culture.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTUSkills Required
- Degree in any discipline
- At least 2-4 years of relevant work experience
- Working knowledge of LLM architectures, prompt engineering, RAG implementations, and API integration
- Experience with vulnerability assessment, adversarial testing, or penetration testing
- Understanding of LLM-specific vulnerabilities, including prompt injection, jailbreaking, and data leakage
- Ability to review agentic, multimodal, and RAG system architectures for security vulnerabilities
- Proficiency in Python and commitment to clean, maintainable code
- Experience with pytest or unittest
- Familiarity with Git, Docker, and CI/CD pipelines using GitLab or GitHub
- Strong technical writing skills for vulnerability reports and compliance evidence
- Willingness to mentor AIAP apprentices and contribute collaboratively to the team
- Relevant experience for consideration at senior appointment level
What We Do
The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors with a focus on patient-centered care, integrating precision medicine, Artificial Intelligence (AI) in healthcare, and medical humanities into its undergraduate medical degree program.
