A highly skilled and motivated Generative AI Engineer for developing an LLM application.
AI Model Development: Design and develop a Generative AI model to automate cybersecurity tasks, such as threat detection, investigation, and remediation.
Advanced AI Techniques: Implement NLP, machine learning, LLM, RAG, prompt engineering and autonomous AI agents to interpret and generate human-like responses to security threats.
Model Training and Evaluation: Utilize large datasets to train and refine AI models, continuously evaluating and improving model performance based on analysts feedback and performance metrics.
Research and Development: Stay informed on the latest advancements in AI, machine learning, data engineering, and cybersecurity, integrating new technologies into our solutions to maintain our competitive edge.
Integration: Collaborate with the engineering team to seamlessly integrate the AI model and data infrastructure into our SaaS platform, ensuring scalability and robustness.
LLM Application Observability and Evaluation: Familiarity with observability and evaluation platforms for LLM applications.