3 Days Left) AI Security Research Engineer

6 days ago

Bengaluru, Karnataka, India CareerXperts Consulting Full time
This opportunity sits at the intersection of cybersecurity and advanced AI, where the challenge is not just securing systems but anticipating how intelligent models and agents can be subverted, manipulated, or misused. The focus is on building resilient, adaptive defenses that scale with the complexity of modern AI deployments. With the rapid expansion of LLMs, agentic frameworks, and AI-driven orchestration, the security landscape is evolving faster than ever - demanding rigorous research, adversarial testing, and engineering of next-generation safeguards.

We are seeking an AI Security Research Engineer to work at the forefront of applied AI security. This role involves analyzing and modeling risks, simulating adversarial attacks, and engineering resilient defenses for Large Language Models (LLMs), intelligent agents, and AI orchestration frameworks. The position demands a strong application security foundation, combined with a deep and evolving understanding of AI system architecture, adversarial techniques, and next-generation threat landscapes.

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 and implement robust defense strategies and mitigations against identified vulnerabilities.
- Apply application security principles to the unique attack surfaces and architectures of AI systems.
- Develop red team playbooks to test resilience of AI-driven environments under advanced attack conditions.
- Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
- Continuously monitor and analyze evolving threats around AI safety, data governance, compliance, and adversarial misuse.
- Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.

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