LLM Security Evaluation Expert

HelloGreetings from ZettaMine Labs Pvt Ltd!!We are looking for LLM Security Evaluation Expert for PAN India.Job Role : LLM Security Evaluation ExpertLocation : PAN IndiaNotice Period : NA( As it is for Gig Workers)Experience : 3 to 6 yearsRelevant Exp : Minimum of 3 Years Experience in below list Skills✓ 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 documentationMandatory :3+ years of experience in offensive security, AI/ML security research, penetration testing of AI systems, or dedicated LLM red-teaming.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 a LLM Security Evaluation Expert, 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 DesignDevelop and execute a structured suite of adversarial prompts — from foundational to highly sophisticated — targeting known and emerging LLM vulnerability classesDesign attacks to bypass safety filters and content moderation policies; induce leakage of sensitive or confidential information; manipulate outputs toward harmful, biased, or unintended contentEngineer prompt injection, jailbreaking, role-playing, and model bias exploitation scenarios; test against a spectrum of LLM architectures and deployment configurationsSecurity Evaluation & Vulnerability AnalysisSystematically execute adversarial test campaigns against target LLMs; analyse responses to identify successful exploits, failure patterns, and exploitable security weaknessesConduct vulnerability assessments against published frameworks including OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF; document findings with reproducible methodologyAssess the resilience of safety mechanisms including RLHF alignment, Constitutional AI, and fine-tuning guardrails against adversarial pressure.Reporting, Standards & CollaborationProduce clear, technically precise vulnerability reports including exploit documentation, impact assessment, and remediation recommendationsCollaborate with AI development and red-team leads to translate findings into security requirements, test standards, and policy updatesContribute 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 locationHighest Qualificaiton:Expertise/Stream:Domain :I will be reaching out to you over a call or email as soon as possible.Thanks & Regards,TungaVidya

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