| Onsite role :: LLM RAG & Security Engineer :: Sunnyvale CA and Austin TX ::contract at Sunnyvale, California, USA |
| Email: sushil.k@mitsinfo.com |
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https://jobs.nvoids.com/job_details.jsp?id=2178217&uid= From: sushil, mitsinfo sushil.k@mitsinfo.com Reply to: sushil.k@mitsinfo.com Hi Please share the resume on Sushil.k@mitsinfo.com and reached me on - linkedin.com/in/sushil-kaushik-a4b397193 Role name: RAG & Security Engineer with LLM exp Location : Sunnyvale CA and Austin TX Job type : contract Visa: USC, GC, GC EAD and H1B Experienced LLM RAG & Security Engineer who specializes in evaluating LLM applications and Retrieval-Augmented Generation (RAG) systems, with a strong background in Red Team testing to identify security vulnerabilities in LLM RAG applications. The ideal candidate will have hands-on experience with adversarial testing frameworks such as Garak, PyRIT, or Giskard, ensuring the robustness, security, and reliability of AI-driven systems. Key Responsibilities: * Develop & Optimize LLM Applications: Design and implement LLM-powered applications using state-of-the-art models, ensuring efficiency and scalability. * RAG System Development: Build and fine-tune Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual accuracy and retrieval efficiency. * Red Team Testing & Security Assessments: Conduct adversarial testing to uncover vulnerabilities such as prompt injection, jailbreaks, data leakage, and bias exploitation. * Testing with Security Tools: Utilize Garak, PyRIT, Giskard, and other adversarial testing frameworks to evaluate LLM security and model robustness. * Threat Analysis & Risk Mitigation: Identify LLM security risks, propose mitigation strategies, and work closely with engineering teams to implement secure AI solutions. * Model Fine-tuning & Guardrails: Implement guardrails, prompt filtering, and defensive techniques to enhance the security posture of deployed LLM applications. * Collaboration with AI & Security Teams: Work alongside ML Engineers and Data Scientists to integrate security best practices into AI pipelines. * Performance & Compliance Monitoring: Ensure LLM applications meet security, compliance, and ethical AI standards (e.g., GDPR, AI Act). Required Skills & Experience: * Strong experience in LLM Evaluation, application development and RAG architecture. * Hands-on experience in Red Team testing for LLM security vulnerabilities. * Proficiency with adversarial testing tools like Garak, PyRIT, and Giskard. * Deep understanding of LLM security risks, including prompt injection, data exfiltration, and model manipulation. * Solid programming skills in Python, with experience in Hugging Face, LangChain, LlamaIndex, or similar frameworks. * Knowledge of cybersecurity principles, AI security guidelines, and risk assessment methodologies. * Experience in ML model evaluation, monitoring, and compliance. * Strong problem-solving skills with an analytical mindset. Preferred Qualifications: * Previous experience in LLM security research or penetration testing of AI models. * Background in NLP, information retrieval, and AI ethics. * Familiarity with secure model deployment in cloud environments Thanks and Regards Sushil Kaushik MITS LLC Keywords: artificial intelligence machine learning green card California Texas Onsite role :: LLM RAG & Security Engineer :: Sunnyvale CA and Austin TX ::contract sushil.k@mitsinfo.com https://jobs.nvoids.com/job_details.jsp?id=2178217&uid= |
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| 12:14 AM 15-Feb-25 |