AI Security Research Specialist

3 days ago

Lucknow, Uttar Pradesh, India beBeeSecurity Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

This role lies at the intersection of cybersecurity and advanced artificial intelligence, where anticipating threats to systems and intelligent models is crucial. The challenge goes beyond securing systems; it involves understanding how they can be subverted, manipulated, or misused.

The focus is on building adaptive defenses that scale with the complexity of modern AI deployments. As large language models, agentic frameworks, and AI-driven orchestration expand rapidly, the security landscape evolves faster than ever before - demanding rigorous research, adversarial testing, and engineering of next-generation safeguards.

We are seeking an experienced professional to analyze and model risks, simulate real-world adversarial scenarios, and engineer resilient defenses for large language models (LLMs), intelligent agents, and AI orchestration frameworks.

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.

Requirements:

  • Strong background in computer science, software engineering, or a related field.
  • Experience in AI security research, development, and deployment.
  • Proficiency in programming languages such as Python, Java, C++, or Rust.
  • Knowledge of AI frameworks, libraries, and tools such as TensorFlow, PyTorch, or Keras.
  • Understanding of machine learning concepts, neural networks, and deep learning.
  • Excellent problem-solving skills, analytical thinking, and attention to detail.
  • Ability to communicate complex technical ideas effectively.

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