AI Security Researcher/ Senior AI Security Researcher

Cloudsine; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

CloudsineAI in Singapore seeks an AI Security Researcher to identify threats affecting LLMs and agentic AI systems. You will build PoCs, produce threat analyses, and drive security-focused product improvements in collaboration with engineering teams.

Candidates with a PhD/masters/bachelors in CS and strong cybersecurity research background are encouraged; hands-on Python/Go and LLM tooling experience is valuable. Senior roles consider 3+ years.

Qualifications

• Education in CS or security-related field with strong focus on cybersecurity research.
• Understanding of OWASP and common web/API vulnerabilities; able to reproduce CVEs.
• Hands-on experience with Python and Go in security projects.
• Proven ability to translate research into product requirements and security features.

Responsibilities

• Conduct security research to identify threats affecting AI systems and strengthen defences for LLMs and AI agents.
• Build PoCs and test cases demonstrating vulnerabilities and potential impact.
• Collaborate with stakeholders to translate findings into security requirements and product improvements.
• Produce customer-facing research output (blogs, advisories, white papers, briefings) for enterprises and government clients.
• Stay current with AI security advancements and engage with the research community.
• Participate in Agile sprints as part of a cross-functional team.
• Use agentic AI tools and automated pipelines to accelerate threat discovery and analysis; build prototypes for handoff to engineering.
• Collaborate with development throughout the product lifecycle; refine security specs, review code, and participate in acceptance testing.
• Apply findings internally to assess CloudsineAI’s systems and drive improvements to security posture.
• Serve as technical interface with customers/prospects; participate in pre-sales discussions and present research at events.

Skills

Security research

Python

Go

LLM tooling

Threat modelling

Pre-sales / customer-facing

Communication

Independence

Team collaboration

Public research track record

Education

PhD in CS or related

Master’s or Bachelor in CS/IS

Tools

OpenAI API

Anthropic API

LangChain

Vector databases

Cloud platforms

Job description

Career > AI Security Researcher/ Senior AI Security Researcher > Apply

Key Roles and Responsibilities

• Conduct security research to identify emerging threats affecting AI systems and strengthen defences for LLMs and AI agents.
• Build test cases and proofs-of-concept (PoCs) that demonstrate LLM and Agentic AI system vulnerabilities and potential impact.
• Collaborate with internal stakeholders to translate research findings into user-focused security requirements and product improvements.
• Produce customer-facing research output such as technical blogs, threat advisories, white papers, and structured security briefings that help enterprise and government customers understand and act on AI security risks.
• Stay current with AI security advancements and engage with the broader research community.
• Participate in Agile sprints as part of a cross-functional development team.
• Use agentic AI tools and automated research pipelines to accelerate threat discovery, hypothesis generation, and vulnerability analysis — and build prototypes that demonstrate findings before handing off to engineering for productisation.
• Collaborate tightly with the development team throughout the product lifecycle. Translate research into actionable engineering specifications, contribute to code reviews, and participate in acceptance testing to ensure security intent is preserved in shipped products.
• Apply research findings internally. Assess CloudsineAI’s own AI systems, tools, and internal workflows against emerging threats, and drive measurable improvements to the company’s security posture on an ongoing basis.
• Serve as a technical interface with customers and prospects — participate in pre-sales discussions, respond to security questionnaires, and present research at industry events to strengthen CloudsineAI’s reputation as a credible AI security authority.

Qualifications

• Education: PhD, Master’s, or Bachelor’s degree in Computer Science, Information Systems, or a related field, with a strong interest in cybersecurity research.
• Security knowledge: Familiar with OWASP best practices and common web/API vulnerability classes. Able to read and reproduce issues from CVEs and communicate clear remediation guidance.
• Certifications (bonus): Credentials like OSCP or similar are a plus.
• Technical fundamentals: Solid understanding of APIs, databases, software engineering fundamentals, and cloud concepts.
• LLM ecosystem experience: Hands-on exposure to LLM tooling and workflows (e.g., OpenAI/Anthropic APIs, Google ADK, LangChain, embeddings, and vector databases).
• Programming: Proficiency in Python and Go, with real-world software development experience preferred.
• Analytical skills: Ability to think critically and assess AI systems against adversarial threats.
• Experience level: Entry-level candidates are welcome to apply. Experienced candidates with at least 3 years of relevant experience will be considered for the senior role.
• Prototype builder: Ability to move quickly from idea to working proof-of-concept, iterate under uncertainty, and communicate findings clearly to both technical and non-technical audiences.
• Public research track record: CVE disclosures, bug bounty contributions, conference presentations, published papers, or open-source security tooling are highly regarded.
• Customer-facing confidence: Comfortable engaging with enterprise security teams and government stakeholders in technical workshops, advisory sessions, or product demonstrations.
• Communication & collaboration: Strong teamwork and communication skills, including presenting and discussing technical ideas clearly.
• Work style: Comfortable working independently while collaborating effectively within a team.
• Location: Based in Singapore.

Why CloudsineAI?

At CloudsineAI, you’ll:

• Work at the Cutting Edge: Be part of the GenAI and Agentic AI revolution, working with emerging technologies and forward-thinking colleagues.
• Support Real World Projects with Customer Impact: Research, design, develop and test new product features for real-world customer impact.
• Add a Strong Track Record to Your CV: Build your portfolio with hands‑on product management experience and contributions to high-visibility GenAI campaigns and partnerships.
• Grow With Us: Enjoy mentorship from experienced product and marketing leaders, and build skills in a supportive, learning-focused environment.
• Conduct research that directly shapes products deployed by government agencies and enterprise customers across 8 countries — your findings go from paper to product, not into a filing cabinet.