Tel Aviv · Hybrid | Full-Time | CybersecurityWhat You'll Do:Design and develop LLM-powered security features and internal AI tools — RAG pipelines, multi-agent workflows, prompt-engineered systems for cybersecurityArchitect and operate multi-agent systems in production — orchestration, inter-agent communication, task delegation, failure handling at scaleBuild agent monitoring and observability pipelines — tracing, drift/failure detection, alerting, reliability SLAsBuild and maintain scalable MLOps infrastructure — model serving, eval frameworks, experiment tracking, CI/CD for MLFine-tune and adapt foundation models on internal datasets (network telemetry, security logs, threat intel)Establish best practices for model observability, safety, and responsible AI deploymentStay current with the LLM/GenAI ecosystem; drive updates to the AI SDLC and AI Research cycletions 'from scratch'