Systems Ltd is looking for an experienced AI Security Engineer with 6-9 years of experience to join the team. The ideal candidate will specialize in securing AI-powered applications, Large Language Models, AI agents, RAG pipelines, prompt workflows, and enterprise AI platforms. This role focuses on identifying and mitigating AI-specific security risks such as prompt injection, jailbreaks, data leakage, insecure tool usage, unsafe model outputs, and misuse of AI systems.
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
- Ensure secure handling of sensitive data across AI applications, including user inputs, retrieved context, prompts, and model outputs
- Conduct threat modeling for AI-based solutions, AI agents, and enterprise AI assistants
- Define and enforce AI security governance, responsible AI controls, and compliance best practices
- Perform security assessments, red teaming, and audits of AI systems
- Monitor emerging AI-related security threats and recommend proactive mitigation strategies
- Collaborate with engineering teams to secure AI APIs, cloud deployments, access controls, and production AI platforms
Requirements:
- 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, data leakage, and insecure output handling
- Understanding of secure AI application architecture, including authentication, authorization, logging, monitoring, and data protection
- Knowledge of cloud platforms such as Azure, AWS, or GCP, especially AI services and API-based deployments
- Familiarity with security tooling such as SAST, DAST, SIEM, vulnerability scanning, and security monitoring
- Understanding of data privacy, compliance, and responsible AI practices
- Experience with AI security frameworks, AI risk management, or responsible AI governance
- Exposure to LLM red teaming, AI guardrails, content safety, prompt filtering, and output validation
- Experience securing RAG pipelines, AI agents, tool-calling systems, and enterprise chatbot platforms
- Knowledge of OWASP Top 10 for LLM Applications or similar AI security guidance
- Relevant certifications such as CISSP, CEH, Security+, or cloud security certifications
- Experience in telecom, fintech, enterprise, or regulated environments
- Strong problem-solving and analytical thinking
- Ability to work cross-functionally with AI, security, cloud, and product teams
- Proactive mindset for identifying AI security risks before production impact
- Effective communication skills to explain risks and mitigation plans to technical and non-technical stakeholders
