Lead AI/ML Engineer – Security AI & LLMs
Core
Design, build, and scale the intelligence layer powering next-generation security products by turning complex security datasets into production-ready AI capabilities for automated analysis and intelligent recommendations.
Role type
Lead AI/ML Engineer (Security AI & LLMs)
Builds
Production-ready AI capabilities, RAG pipelines, agentic workflows, and LLM applications for security telemetry and unstructured logs.
Domain
Cybersecurity, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, vector databases (Pinecone, Qdrant, Milvus), semantic search, API design, Docker, Kubernetes, AWS SageMaker, Azure ML, GCP Vertex AI
Preferred skills
Experience in cybersecurity domain, experience with Retrieval-Augmented Generation (RAG), experience with agentic workflows
Technologies
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, Pinecone, Qdrant, Milvus, Docker, Kubernetes, AWS SageMaker, Azure ML, GCP Vertex AI
Responsibilities
Design and deploy robust RAG pipelines and agentic workflows; Train, fine-tune, and evaluate ML/DL models for pattern matching and anomaly detection; Implement guardrails and safety alignment techniques; Build and maintain scalable ML pipelines from preprocessing to production monitoring.
Seniority
Lead, hands-on IC with technical direction
