AI Defense Specialist

1 day ago

Amrāvati, Maharashtra, India beBeeSecurity Full time ₹ 20,00,000 - ₹ 25,00,000

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.

Job Overview

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.

  • 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.

In this role, you will be responsible for conducting cutting-edge research in AI security, developing novel defense techniques, and collaborating with cross-functional teams to integrate security into AI system design.

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