Job Description

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Greetings from Zetta Mine Labs Pvt Ltd!!

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We are looking for LLM and Agentic Security expert (Data exfiltration specialization) for PAN India.

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Job Role : LLM and Agentic Security expert (Data exfiltration specialization)

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Location : PAN India

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Notice Period : NA( Freelancing allowed)

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Experience : 6 years or above

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Relevant Exp : Minimum of 4 Years Experience in below list of skills

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✓ LLM and AI agent Security testing

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✓ Experience in Data exfiltration attacks

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✓ LLM architecture & training process knowledge

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✓ OWASP LLM Top 10 & MITRE ATLAS

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✓ Adversarial prompt design & execution

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✓ Vulnerability assessment for AI/ML systems

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✓ Prompt injection & jailbreaking techniques

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✓ Offensive security tooling & methodology

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✓ Role-playing and bias exploitation attacks

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✓ Security reporting and findings documentation

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Mandatory :

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- 4+ years of experience in offensive security, AI/ML security research, penetration testing of AI systems, or dedicated LLM red-teaming.
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- Good Experience in data exfiltration vulnerability testing of LLMs and Agentic systems
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- Deep working knowledge of LLM architecture, training processes, and alignment techniques (RLHF, fine-tuning, instruction-following).
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- Proven hands-on expertise in adversarial prompt design, jailbreaking, prompt injection, and role-play attack methodologies.
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- Strong grounding in cybersecurity principles applied to AI/ML systems; familiarity with OWASP LLM Top 10 and related frameworks.
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- Clear and accurate written communication skills — ability to document technical findings thoroughly and present security risks to non-technical stakeholders.
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- Commitment to responsible testing practices and understanding of the ethical implications of AI security research.
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Job Description:

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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.

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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.

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Key Responsibilities:

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Adversarial Prompt Engineering & Attack Design

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- Develop and execute a structured suite of adversarial prompts — from foundational to highly sophisticated — targeting known and emerging LLM vulnerability classes
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- 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
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- Engineer prompt injection, jailbreaking, role-playing, and model bias exploitation scenarios; test against a spectrum of LLM architectures and deployment configurations
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Security Evaluation & Vulnerability Analysis

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- Systematically execute adversarial test campaigns against target LLMs; analyse responses to identify successful exploits, failure patterns, and exploitable security weaknesses
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- Conduct vulnerability assessments against published frameworks including OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF; document findings with reproducible methodology
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- Assess the resilience of safety mechanisms including RLHF alignment, Constitutional AI, and fine-tuning guardrails against adversarial pressure.
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Reporting, Standards & Collaboration

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- Produce clear, technically precise vulnerability reports including exploit documentation, impact assessment, and remediation recommendations
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- Collaborate with AI development and red-team leads to translate findings into security requirements, test standards, and policy updates
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- Contribute to Platina’s growing adversarial evaluation library and internal red-teaming playbooks.
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Please provide following detail along with your updated profile to

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Primary Skill -

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Total Experience -

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Relevant Experience :

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Current location

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Highest Qualification:

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Expertise/Stream:

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Domain :

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I will be reaching out to you over a call or email as soon as possible.

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Thanks & Regards,

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Vyshnavi

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📌 LLM and Agentic Security expert (Data exfiltration specialization) (India)
🏢 ZettaMine Labs
📍 India