LLM Security Tester (Secunderabad)

Job Description: LLM Security Tester Job Title: LLM Security Tester Experience: 15 Years Location: Hyderabad / As per business requirement Employment Type: Full-Time Role Overview We are looking for an LLM Security Tester responsible for designing, developing, and executing security testing strategies for Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, and AI agent-based solutions. The ideal candidate will identify vulnerabilities, perform security assessments, and improve the safety and reliability of AI applications. The candidate will collaborate with AI/ML engineers, security teams, data scientists, and engineering stakeholders to evaluate AI risks and deliver secure, scalable, and trustworthy AI solutions. Key Responsibilities - Perform security testing for LLM applications, RAG systems, and AI agent workflows. - Identify and analyze vulnerabilities including prompt injection, jailbreak attacks, data leakage, and unauthorized information exposure. - Conduct AI red teaming activities to evaluate model behavior, security risks, and potential attack scenarios. - Perform tool-abuse testing for AI agents, APIs, plugins, and external integrations. - Develop security test cases and frameworks for evaluating LLM application vulnerabilities. - Assess risks related to prompt manipulation, unsafe outputs, hallucinations, and model misuse. - Analyze AI application architecture and identify potential security gaps. - Document security findings, risk assessments, and recommended mitigation strategies. - Collaborate with engineering teams to implement security improvements and best practices. - Support the development of secure AI deployment processes and governance standards. Required Skills & Qualifications - 15 years of overall experience in AI security, cybersecurity, machine learning, application security, or related fields. - Minimum 12 years of hands-on experience in LLM security testing or closely related technologies. - Strong understanding of: - Large Language Models (LLMs) - Generative AI applications - Retrieval-Augmented Generation (RAG) - AI Agent architectures - LLM vulnerabilities and attack techniques - Hands-on experience with: - Prompt injection testing - Data leakage testing - AI red teaming - Tool abuse testing - Security vulnerability assessment - Security reporting - Strong programming skills in Python. - Experience testing AI applications and identifying security risks. - Ability to analyze AI workflows and identify potential attack vectors. - Solid problem-solving and analytical skills. Good to Have Skills - Experience with LLM security frameworks and testing methodologies. - Knowledge of OWASP Top 10 for LLM Applications. - Experience with AI safety and responsible AI practices. - Familiarity with: - LangChain - LangGraph - OpenAI APIs - Azure OpenAI - Hugging Face Transformers - Vector databases - Understanding of secure AI development lifecycle and MLOps practices. - Experience with penetration testing or vulnerability assessment tools. - Research experience in AI security, LLM vulnerabilities, or adversarial testing. Candidate Profile Details Required Please share the below details along with your updated resume: Total Experience: Relevant Experience: Current Company: Current CTC: Expected CTC: Notice Period: Current Location: Reason for Change: Availability for Interview: Updated Resume: Interested candidates can share their updated profile at: [HIDDEN TEXT] .