AI Security Engineer
Core
Design and implement autonomous AI agents and security playbooks to protect an enterprise automation platform from cyber threats using agentic SOC workflows.
Role type
Senior IC AI Security Engineer (Agentic SOC)
Builds
Autonomous AI agents, deterministic agentic pipelines, and production-grade RAG workflows for security operations.
Domain
Cybersecurity + AI/LLM Operations
Deliverable
production ML models
Required skills
Python, Go, Scala, Java, AI/ML algorithm development, system architecture, LLM performance engineering, RAG pipeline design, Human-in-the-Loop (HITL) mechanisms, OWASP Top 10 for LLMs mitigation
Preferred skills
Cloud platform deployment (AWS, Google Cloud, Azure), multi-agent orchestration (LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel), production Vector Databases (Pinecone, Qdrant, Milvus, Weaviate), containerized AI workloads (Kubernetes/EKS/AKS)
Responsibilities
Design, test, and deploy autonomous AI agents integrating with SIEM/EDR/XDR; Translate SOC playbooks into agentic pipelines; Optimize RAG workflows for real-time security context; Evaluate and optimize LLM performance and cost-efficiency; Engineer HITL handoff mechanisms for complex anomalies; Implement security boundaries for LLM architecture against prompt injection and data poisoning
Seniority
Senior, hands-on IC