Machine Learning Infrastructure Engineer - LLM & Agentic AI
Core
Design and build scalable infrastructure for Agentic AI frameworks and LLM inference to power Autonomous SOC applications in cybersecurity.
Role type
Senior IC machine learning infrastructure engineer (LLM & Agentic AI)
Builds
Agentic AI frameworks, scalable LLM inference infrastructure, MCP servers, and API services for Autonomous SOC applications
Domain
Cybersecurity / SecOps / Generative AI
Deliverable
production ML models
Required skills
Python, Java, Go, distributed systems, APIs (REST/gRPC), microservices, MLOps, containerization, orchestration, cloud computing
Preferred skills
LLM application development in high-sensitivity domains, Generative AI frameworks (LangChain, LangGraph, AutoGen), observability in ML systems, LLM deployment frameworks (vLLM, llama.cpp), ML platform team experience, SecOps concepts
Technologies
Docker, Kubernetes, vLLM, llama.cpp, LangChain, LangGraph, AutoGen, REST, gRPC
Responsibilities
Design and build Agentic AI frameworks to orchestrate LLM-based agents; Develop scalable LLM inference infrastructure; Develop MCP servers for Open XDR platform integration; Develop supporting API services for agent operations; Collaborate with researchers and engineers to align infrastructure with product needs
Seniority
Senior, hands-on IC
