Staff Machine Learning Engineer (Agentic AI)
Core
Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems (including LLMs, RAG, and Agentic AI) for cloud security operations.
Role type
Staff Machine Learning Engineer (Agentic AI)
Builds
Cloud-native Zero Trust Exchange platform and Exposure Management & Security Operations systems
Domain
Cybersecurity / Cloud Security / Generative AI
Deliverable
production ML models
Required skills
Gen AI/ML system design, LLM fine-tuning, Retrieval-Augmented Generation (RAG), Agentic AI, MLOps, distributed systems, Python, SQL
Preferred skills
Cloud services (AWS, GCP, Azure), ML platforms (Kubeflow, SageMaker), systems programming (Go, Rust), distributed systems, networking fundamentals
Technologies
Python, SQL, AWS, GCP, Azure, Kubeflow, SageMaker, Go, Rust
Responsibilities
Designing and deploying scalable Gen AI/ML systems from data ingestion to monitoring; Researching and evaluating emerging AI/ML frameworks and prototyping novel solutions; Implementing and maintaining robust MLOps practices; Leading and mentoring junior engineers in system design; Collaborating with cross-functional teams to translate business needs into technical solutions
Seniority
Staff, hands-on IC with mentorship