Job Title

Our Client: A distinguished AI Security powerhouse led by founders with BILLION-DOLLAR exits. Backed by world-class investors. Building the future of AI-driven cybersecurity.Are you ready to build AI systems that operate at MASSIVE SCALE in production?This isn't your typical AI role. This is where cutting-edge LLM agents meet real-world security challenges.What You'll Be Building:✅ Production-Grade AI Systems processing millions of events daily—where reliability, scalability, and monitoring aren't optional, they're survival.✅ LLM-Driven Workflows & AI Agents that orchestrate complex security investigations with context management, tool integration, and bulletproof error handling.✅ Hybrid AI Architectures combining traditional ML models (classification, ranking, anomaly detection) with LLM-based contextual reasoning for unmatched explainability and performance.✅ Statistical Rigor Applied — Beyond accuracy metrics. You'll leverage significance testing, time-series analysis, and anomaly detection to validate models in real-world scenarios.✅ Model Context Protocol (MCP) Integration to enhance LLM interoperability in production security pipelines—think alert triage, threat investigation, and autonomous response systems.What We're Looking For:Proven experience deploying ML/AI systems to production at scale (millions of events/logs daily)Deep expertise in LLM workflows, AI agents, and agentic systemsStatistical mastery beyond vanilla metrics—you validate, measure, and iterate with data-driven rigorSystem design prowess—you architect end-to-end AI pipelines that balance scale, explainability, and continuous improvementMetrics-driven mindset—you back every claim with concrete numbers: throughput, latency, uptime %, error rates, performance gainsIf you want to work on AI systems that MATTER in the real world—systems that defend organizations at scale—this is your calling.Write to AI.Engineer@ to get connected!