• Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases. • Integrate Generative AI models with internal APIs and security datasets to automate and augment workflows. • Build and fine-tune ML models for vulnerability prediction, triage prioritization, and exploit pattern detection. • Develop evaluation pipelines and feedback loops to continuously improve AI model performance and explainability. • Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources. • Build secure data ingestion, transformation, and storage workflows leveraging AWS and modern MLOps practices. • Develop robust CI/CD pipelines for data and ML model deployment. • Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.