Uni Internship May to Dec 2026 - Large Language Model (LLM) Red Team Development

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

As part of our Risk Control and Assurance function, we maintain rigorous security standards for Large Language Models (LLMs) by proactively identifying and mitigating vulnerabilities before deployment.

We are looking for a hands-on, security-minded intern to help our Red Team build research prototypes across Artificial Intelligence (AI) Red Teaming capabilities.

The selected intern will participate in, but is not limited to, the following:

1. Design and document a repeatable Red Team LLM testing methodology (threat models, attack surfaces, evaluation criteria, reporting templates).
2. Build prompt/test suites and scoring rubrics for LLM jailbreaks, data exfiltration and prompt injection.
3. Produce guidance on detection/mitigation (guardrails, filters, retrieval hardening, evaluation metrics).

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Science, Computer Engineering, Information Systems or related field
• Graduating in Dec 2026 or May 2027
• Knowledge of data mining and statistical analysis techniques, familiar with SQL/ PL-SQL Query etc) and programme knowledge such as Python
• Strong knowledge of coding practices. Good technical knowledge and experience in object-oriented programming, such as C#, C, C++
• Familiar with MITRE ATT&CK Tactics, Techniques and Procedures (TTPs).
• Experienced in Large Language Model (LLM)/Artificial Intelligence (AI) Security Basics (e.g., prompt injection and jailbreaks)
• Good team player with strong analytical and communication skills
• Ability to multitask and work effectively as part of a multidisciplinary team
• Passionate and keen to make a difference to re-imagine the future of HealthTech