08 Sep
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ZettaMine Labs
|
India
08 Sep
ZettaMine Labs
India
Hello Greetings from ZettaMine Labs Pvt Ltd We are looking for LLM and Agentic Security expert (Data exfiltration specialization) for PAN India. Job Role : LLM and Agentic Security expert (Data exfiltration specialization) Location : PAN India Notice Period : NA( Freelancing allowed) Experience : 6 years or above Relevant Exp : Minimum of 4 Years Experience in below list of skills ✓ LLM and AI agent Security testing ✓ Experience in Data exfiltration attacks ✓ LLM architecture & training process knowledge ✓ OWASP LLM Top 10 & MITRE ATLAS ✓ Adversarial prompt design & execution ✓ Vulnerability assessment for AI/ML systems ✓ Prompt injection & jailbreaking techniques ✓ Offensive security tooling & methodology ✓ Role-playing and bias exploitation attacks ✓ Security reporting and findings documentation Mandatory : 4 years of experience in offensive security, AI/ML security research, penetration testing of AI systems, or dedicated LLM red-teaming. Good Experience in data exfiltration vulnerability testing of LLMs and Agentic systems Deep working knowledge of LLM architecture, training processes, and alignment techniques (RLHF, fine-tuning, instruction-following). Proven hands-on expertise in adversarial prompt design, jailbreaking, prompt injection, and role-play attack methodologies. Strong grounding in cybersecurity principles applied to AI/ML systems; familiarity with OWASP LLM Top 10 and related frameworks. Clear and precise written communication skills — ability to document technical findings thoroughly and present security risks to non-technical stakeholders.
Commitment to responsible testing practices and understanding of the ethical implications of AI security research. Job Description: As an LLM and Agentic Security expert (Data exfiltration specialization) , you will be the adversarial mind that frontier AI systems need but rarely have. Your mandate is to rigorously probe large language models for security vulnerabilities — designing, executing, and documenting adversarial prompt campaigns that expose real failure modes before bad actors find them first. You will operate at the intersection of offensive security and AI research , crafting sophisticated attack vectors including prompt injection, jailbreaking, role-play manipulation, and bias exploitation, and translating findings into actionable security intelligence for AI development teams. This is not a compliance checkbox role. It requires genuine adversarial creativity, deep LLM knowledge, and the discipline to document what you find with rigour and ethical clarity. Key Responsibilities:
Adversarial Prompt Engineering & Attack Design Develop and execute a structured suite of adversarial prompts — from foundational to highly sophisticated — targeting known and emerging LLM vulnerability classes Design attacks to bypass safety filters and content moderation policies; induce leakage of sensitive or confidential information; manipulate outputs toward harmful, biased, or unintended content Engineer prompt injection, jailbreaking, role-playing, and model bias exploitation scenarios; test against a spectrum of LLM architectures and deployment configurations Security Evaluation & Vulnerability Analysis Systematically execute adversarial test campaigns against target LLMs; analyse responses to identify successful exploits, failure patterns, and exploitable security weaknesses Conduct vulnerability assessments against published frameworks including OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF; document findings with reproducible methodology Assess the resilience of safety mechanisms including RLHF alignment, Constitutional AI, and fine-tuning guardrails against adversarial pressure. Reporting, Standards & Collaboration Produce transparent, technically precise vulnerability reports including exploit documentation, impact assessment, and remediation recommendations Collaborate with AI development and red-team leads to translate findings into security requirements, test standards, and policy updates Contribute to Platina’s growing adversarial evaluation library and internal red-teaming playbooks. Please provide following detail along with your updated profile to Primary Skill - Total Experience - Relevant Experience : Current location Highest Qualification: Expertise/Stream: Domain : I will be reaching out to you over a call or email as soon as possible. Thanks & Regards, Vyshnavi
📌 LLM and Agentic Security expert (Data exfiltration specialization) (India)
🏢 ZettaMine Labs
📍 India