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Job Description
- Build and optimize AI-agent frameworks (such as threat hunting and detection engineering agents) to automate triage, context enrichment, and initial threat analysis.
- Construct and manage end-to-end pipelines that autonomously write, test, and tune yet another recursive acronym - log (YARA-L) rules based on emerging threat behavior.
- Conduct deep-dive technical analyses of adversary behavior to extract concrete indicators and logic that train machine learning models and ground agentic workflows.
- Drive continuous refinement of the rule lifecycle by leveraging advanced LLM architectures to automate regression testing, false-positive reduction, and rule deprecation. Perform data analysis on large threat intelligence datasets to uncover hidden patterns, feed ML pipelines, and expand the knowledge base of autonomous systems.
- Create, maintain, and scale the underlying processes and code-driven tooling required to support decentralized, automated security operations.