Principal Staff Engineer, AI Platform Research, Data Science (Remote)
Core
Design, build, and deploy cutting-edge data infrastructure and AI platforms to power next-generation AI-driven security products at Exabyte scale.
Role type
Principal Staff Data Engineer (AI Platform & LLMs)
Builds
Scalable data platforms, pipelines, and agentic workflows for LLMs, RAG, and AI security features
Domain
Cybersecurity, Large-scale Data Engineering, AI/ML Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
LLM engineering, agentic workflows, distributed systems architecture, MLOps/DataOps, data modeling, semantic cataloging, hands-on coding, technical leadership
Preferred skills
Experience in cybersecurity or high-compliance industries, open-source contributions to data/AI/ML
Technologies
Python, Go, Rust, JVM, LangChain, LlamaIndex, Spark, Dask, Flink, AWS, GCP, OCI, Docker, Kubernetes, Kafka, Pulsar, Snowflake, BigQuery, Airflow, Kubeflow, MLflow, SageMaker, Vertex AI
Responsibilities
Architect and optimize data platforms for LLMs and agentic systems; drive adoption of autonomous data-driven security features; establish MLOps best practices; mentor engineers and lead design reviews; collaborate to transform research prototypes into production services; own end-to-end lifecycle of critical data services
Seniority
Principal Staff, hands-on IC with technical leadership