
Cybersecurity Expert in AI Development
2 days ago
This role sits at the intersection of cybersecurity and AI, where we anticipate potential vulnerabilities in intelligent models and agents.
The rapid expansion of Large Language Models (LLMs), agentic frameworks, and AI-driven orchestration demands rigorous research, adversarial testing, and engineering of next-generation safeguards.
Key Responsibilities:- Conduct threat modeling for LLMs, multi-agent systems, plugin/tool-based architectures, and other AI applications.
- Simulate real-world adversarial scenarios, including prompt injection, model manipulation, jailbreaking, supply chain abuse, and other emerging vectors.
- Design robust defense strategies against identified vulnerabilities.
- Apply application security principles to unique attack surfaces and architectures of AI systems.
- Develop red team playbooks to test resilience under advanced attack conditions.
- Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
- Continuously monitor evolving threats around AI safety, data governance, compliance, and adversarial misuse.
- Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.
Our ideal candidate has a strong background in computer science, cybersecurity, or a related field. They possess excellent analytical and problem-solving skills, with the ability to work independently and collaboratively as part of a dynamic team.
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