AI Security Engineer

About the role

We are looking for an experienced AI Security Engineer to join the team. The ideal candidate will specialize in securing AI‑powered applications, large language models, AI agents, retrieval‑augmented generation pipelines, prompt workflows, and enterprise AI platforms.

Key responsibilities

• Design and implement security controls for AI applications, LLM integrations, AI agents, and RAG‑based systems.
• Identify and mitigate AI‑specific threats such as prompt injection, jailbreaks, data exfiltration, model misuse, hallucination risks, and insecure tool/function calling.
• Secure prompt workflows, system prompts, agent instructions, retrieval pipelines, and AI orchestration layers.
• Assess risks in LLM APIs, vector databases, embeddings, knowledge bases, and external tool integrations.
• Conduct threat modeling, security assessments, red‑team exercises, and audits of AI‑based solutions.
• Define and enforce AI security governance, responsible AI controls, and compliance best practices.

Required profile

• 8–10 years of relevant experience in security and AI engineering.
• Hands‑on understanding of AI applications, LLMs, RAG, embeddings, vector search, prompt engineering, and AI agents.
• Experience identifying and mitigating LLM security risks such as prompt injection, jailbreaks, and data leakage.
• Strong problem‑solving, analytical thinking, and ability to work cross‑functionally with AI, security, cloud, and product teams.

Required skills

• Azure, AWS, or GCP cloud platforms (especially AI services and API deployments).
• SAST, DAST, SIEM, vulnerability scanning, and security monitoring tools.
• Knowledge of OWASP Top 10 for LLM applications or similar AI security guidance.
• Experience with LLM red‑teaming, AI guardrails, prompt filtering, and output validation.
• Familiarity with securing RAG pipelines, AI agents, tool‑calling systems, and enterprise chatbot platforms.