AI Application Security Engineer

Hello\nGreetings from ZettaMine Labs Pvt Ltd!!\n\nWe are looking for AI Application Security Engineer for PAN India.\n\nJob Role : AI Application Security Engineer\nLocation : PAN India\nNotice Period : NA( As it is for Gig Workers)\nExperience : 0 to 2 years\nRelevant Exp : Extensive knowledge, or hands-on experience in the below skill sets.\n\nLLM security risks & OWASP LLM Top 10\nSecure coding review (Python / Java / .NET)\nAdversarial ML concepts & attack surfaces\nSAST, SCA, and CI/CD security basics\nAI/ML application threat modelling\nAI regulatory frameworks (NIST AI RMF, EU AI Act)\nSTRIDE or equivalent threat frameworks\nSecurity documentation & reporting\n\nMandatory :\n\nPhD in Computer Science, Cybersecurity, AI/ML, Software Engineering, or a closely related field or a Masters with a strong dissertation focus on AI security, adversarial ML, or application security\n0-2 years of professional experience; strong academic or research track record in AI/ML security, application security, or adversarial systems is equally valued\nWorking knowledge of LLM security risks, adversarial AI concepts, and AI/ML system vulnerabilities (OWASP LLM Top 10, prompt injection, model inversion, etc.)\nFamiliarity with at least one programming language for scripting or code review ( Python preferred)\nClear analytical and written communication skills ability to document findings and explain security risks to technical and non-technical audiences.\n\nJob Description:\nKey Responsibilities\n\nSecure AI Development Lifecycle\nSupport the embedding of automated security checks into AI development pipelines including SAST, SCA, and AI-specific vulnerability scanning under senior guidance\nAssist in reviewing AI-integrated codebases and ML-Ops workflows for security vulnerabilities, misconfiguration, and unsafe model deployment patterns\n\nAI Threat Modelling\nParticipate in threat modelling sessions for agentic and AI systems; learn to apply STRIDE and AI-specific threat frameworks to identify attack surfaces and design security requirements\nDocument threat model outputs with clear impact assessments and contribute to security requirement specifications for AI platform teams\n\nAI Security Subject Matter Support\n\nContribute to the development of information security policies and standards for AI systems in collaboration with senior risk and security leads\nSupport AI security incident analysis and help develop incident response playbooks for AI-related events including prompt injection, model abuse, and data exfiltration\nAct as an internal resource for AI security knowledge researching emerging attack patterns, regulatory requirements, and security tooling relevant to AI platforms\n\nStandards, Research & Growth\n\nMonitor and synthesise developments across AI security frameworks (NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, EU AI Act) to keep Platinas practices current\nContribute research notes, threat intelligence, and technical findings to Platinas internal knowledge base and client-facing security standards\n\nPlease provide following detail along with your updated profile to\n\nPrimary Skill -\nTotal Experience -\nRelevant Experience :\nCurrent location\nHighest Qualificaiton:\nExpertise/Stream:\nDomain :\n\nI will be reaching out to you over a call or email as soon as possible.\n\nThanks & Regards,\nVyshnavi