LLM and Agentic Security expert (Data exfiltration specialization)

ZettaMine Labs Pvt. Ltd. · Bangalore, 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 clear, 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

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

Thanks & Regards,

Vyshnavi