Sr. Machine Learning Engineer
Core
Architect high-scale distributed systems and autonomous AI agents to process massive data volumes and drive complex automation for enterprise cybersecurity customers.
Role type
Senior IC backend engineer (agentic AI systems)
Builds
Autonomous AI agents, high-throughput event-driven systems, and large-scale data pipelines for breach containment
Domain
Cybersecurity / Distributed Systems / Agentic AI
Deliverable
production ML models | product features
Required skills
Java, Python, or Go; distributed systems; asynchronous architectures (Kafka); large-scale data processing (Spark/Flink); agentic frameworks (AutoGen, CrewAI); RAG; prompt engineering
Preferred skills
Terraform; vector database optimization (HNSW, IVF); LLM deployment optimization (vLLM, TensorRT-LLM)
Technologies
Apache Kafka, Apache Spark, Apache Flink, Kubernetes, AWS, Azure, GCP, Langfuse
Responsibilities
Architect and optimize high-throughput, event-driven systems; Build and maintain large-scale data pipelines; Design sophisticated AI Agents with autonomous planning and tool-use; Lead architectural design of containerized services on Kubernetes
Seniority
Senior, hands-on IC