Application Security Engineer

We are looking
for 2 experienced AI Security Professionals to lead security assessments of
AI/GenAI applications and platforms. Requesting your early response.

Key Responsibilities

• 
  Conduct AI/LLM security
  assessments, architecture reviews, and threat modeling.
• 
  Perform AI Red Teaming
  exercises, including validation of AI attack scenarios and security controls.
• 
  Assess risks related to Prompt
  Injection, Jailbreaks, System Prompt Leakage, Sensitive Data Disclosure, Model
  Poisoning, RAG Security, Excessive Agency, and AI Supply Chain threats.
• 
  Review and
  validate AI Guardrails, security controls, content filtering, access
  controls, and data protection mechanisms.
• 
  Evaluate AI solutions against OWASP
  LLM Top 10, NIST AI RMF, and other industry security frameworks.
• 
  Assess security of LLM
  integrations, RAG implementations, AI agents, vector databases, APIs, plugins,
  and third-party AI services.
• 
  Conduct
  security testing and identify adversarial attack vectors, including
  evasion, poisoning, prompt manipulation, privilege escalation, and data
  extraction attacks.
• 
  Recommend
  remediation strategies and secure-by-design practices for AI applications.
• 
  Collaborate with development,
  architecture, and risk teams to ensure secure AI deployments.

Required Skills

• 
  7-10
  years of experience in
  Application Security, Product Security, or DevSecOps.
• 
  Strong
  expertise in secure SDLC, threat modeling, SAST, DAST, SCA, API Security,
  and Cloud Security.
• 
  Hands-on experience with AI/LLM
  security testing, AI Red Teaming, and GenAI security assessments.
• 
  Strong understanding of OWASP
  LLM Top 10, AI Guardrails, Adversarial ML attacks, and AI governance frameworks.
• 
  Experience securing applications
  built on OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar
  platforms.
• 
  Relevant certifications such as OSCP,
  CISSP, CSSLP, CCSP, AI Security certifications, or equivalent are
  preferred.

Preferred

• 
  Experience in enterprise AI
  adoption, AI governance, and security architecture reviews.
• 
  Hands-on knowledge of vector
  databases, agentic AI, MCP, RAG, and AI security tooling.