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AI Research Engineer

2 weeks ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 28,00,000

At the crossroads of cybersecurity and advanced AI, this opportunity calls for a unique blend of skill and ingenuity. The challenge lies not only in securing systems but also in anticipating how intelligent models and agents can be subverted, manipulated, or misused.

The focus is on developing 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.

This role involves analyzing and modeling risks, simulating real-world adversarial scenarios, and engineering robust defense strategies against identified vulnerabilities. A strong application security foundation combined with a deep understanding of AI system architecture, adversarial techniques, and next-generation threat landscapes is essential.

Key Responsibilities:

  • Threat Modeling: Conduct threat modeling for LLMs, multi-agent systems, plugin/tool-based architectures, and other AI applications to identify potential vulnerabilities.
  • Adversarial Testing: Simulate real-world adversarial scenarios, including prompt injection, model manipulation, jailbreaking, supply chain abuse, and other emerging vectors to test resilience.
  • Defense Strategy Design: Design and implement robust defense strategies and mitigations against identified vulnerabilities to safeguard AI systems.
  • Application Security: Apply application security principles to the unique attack surfaces and architectures of AI systems to ensure secure deployment.
  • Red Teaming: Develop red team playbooks to test the resilience of AI-driven environments under advanced attack conditions.
  • Vulnerability Validation: Build proof-of-concept exploits to validate and demonstrate the severity of discovered vulnerabilities.
  • Threat Analysis: Continuously monitor and analyze evolving threats around AI safety, data governance, compliance, and adversarial misuse.
  • Security Methodologies: Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.