AI Security Engineer

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 systemsIdentify and mitigate AI-specific threats such as prompt injection, jailbreaks, data exfiltration, model misuse, hallucination risks, and insecure tool/function callingSecure prompt workflows, system prompts, agent instructions, retrieval pipelines, and AI orchestration layersAssess risks in LLM APIs, vector databases, embeddings, knowledge bases, and external tool integrationsEnsure secure handling of sensitive data across AI applications, including user inputs, retrieved context, prompts, and model outputsConduct threat modeling for AI-based solutions, AI agents, and enterprise AI assistantsDefine and enforce AI security governance, responsible AI controls, and compliance best practicesPerform security assessments, red teaming, and audits of AI systemsMonitor emerging AI-related security threats and recommend proactive mitigation strategiesCollaborate with engineering teams to secure AI APIs, cloud deployments, access controls, and production AI platformsRequirements:Hands-on understanding of AI applications, LLMs, RAG, embeddings, vector search, prompt engineering, and AI agentsExperience identifying and mitigating LLM security risks such as prompt injection, jailbreaks, data leakage, and insecure output handlingUnderstanding of secure AI application architecture, including authentication, authorization, logging, monitoring, and data protectionKnowledge of cloud platforms such as Azure, AWS, or GCP, especially AI services and API-based deploymentsFamiliarity with security tooling such as SAST, DAST, SIEM, vulnerability scanning, and security monitoringUnderstanding of data privacy, compliance, and responsible AI practicesExperience with AI security frameworks, AI risk management, or responsible AI governanceExposure to LLM red teaming, AI guardrails, content safety, prompt filtering, and output validationExperience securing RAG pipelines, AI agents, tool-calling systems, and enterprise chatbot platformsKnowledge of OWASP Top 10 for LLM Applications or similar AI security guidanceRelevant certifications such as CISSP, CEH, Security+, or cloud security certificationsExperience in telecom, fintech, enterprise, or regulated environmentsStrong problem-solving and analytical thinkingAbility to work cross-functionally with AI, security, cloud, and product teamsProactive mindset for identifying AI security risks before production impactEffective communication skills to explain risks and mitigation plans to technical and non-technical stakeholders