Deeptech Ai Us Security Startup Is Hiring: Ai Engineer-$ Premium
2 weeks ago
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 systems 🔹 Statistical mastery beyond vanilla metrics—you validate, measure, and iterate with data-driven rigor 🔹 System design prowess—you architect end-to-end AI pipelines that balance scale, explainability, and continuous improvement 🔹 Metrics-driven mindset—you back every claim with concrete numbers: throughput, latency, uptime %, error rates, performance gains If 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@careerxperts.com to get connected
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