Demo

Senior LLM RAG & Security Engineer

Tekaccel Inc
CA Full Time
POSTED ON 4/21/2025
AVAILABLE BEFORE 5/15/2025

Role Title : Senior LLM RAG & Security Engineer

Location : Austin, TX / Sunnyvale, CA

Role Overview :

Seeking an experienced AI Security Engineer specializing in Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, and adversarial security testing. The ideal candidate will have expertise in Red Team assessments to identify vulnerabilities in AI-driven systems.

Key Competencies :
  • Python
  • Artificial Intelligence (AI)
  • Cybersecurity & Risk Assessment
  • Experience :
  • 10 years
  • Core Responsibilities :

    • LLM Application Development : Design and optimize LLM-powered applications for scalability and performance.
    • RAG System Implementation : Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for efficient data retrieval and contextual accuracy.
    • Security Testing & Vulnerability Assessment : Conduct Red Team testing to identify risks such as prompt injection, data leakage, and bias exploitation.
    • Adversarial Testing Tools : Utilize frameworks like Garak, PyRIT, and Giskard to evaluate LLM security.
    • Threat Mitigation : Identify and implement security strategies to safeguard AI applications.
    • Model Fine-Tuning & Guardrails : Apply prompt filtering, access controls, and defensive techniques to enhance system resilience.
    • Collaboration : Work closely with ML Engineers and Data Scientists to integrate security best practices into AI workflows.
    • Compliance & Risk Monitoring : Ensure adherence to security and ethical AI standards such as GDPR and AI Act.
    • Required Skills & Expertise :

    • Strong proficiency in LLM application development, RAG architecture, and AI security.
    • Hands-on experience in Red Team testing and adversarial security techniques.
    • Expertise in Python, Hugging Face, LangChain, and LlamaIndex.
    • Knowledge of cybersecurity principles, AI security frameworks, and risk mitigation strategies.
    • Experience in compliance monitoring, ML model evaluation, and ethical AI deployment.
    • Preferred Qualifications :

    • Experience in AI security research or penetration testing.
    • Background in Natural Language Processing (NLP) and information retrieval.
    • Familiarity with secure AI deployment in cloud environments.
    • Location : Austin, TX / Sunnyvale, CA

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