Engineer, Platform Engineering - AI
Core
Build and maintain GPU cluster infrastructure and containerized AI/ML platforms, including RAG workflows, vector stores, and agentic AI systems.
Role type
Senior IC Platform Engineer (AI Infrastructure)
Builds
GPU clusters, container images, RAG pipelines, vector stores, and agentic AI orchestration frameworks
Domain
AI/ML Infrastructure, Cloud Systems, GPU Computing
Deliverable
production ML models
Required skills
Kubernetes, Linux administration, Python scripting, GPU infrastructure management, CUDA, container image management, RAG pipeline design, vector databases, agentic AI orchestration, observability
Preferred skills
NVIDIA AI Enterprise, Run:AI, n8n, GitHub Actions, multi-agent orchestration frameworks
Technologies
Kubernetes, NVIDIA GPUs, CUDA, PyTorch, TensorFlow, Docker, Linux, Python, GitOps, n8n, GitHub Actions
Responsibilities
Deploy and maintain GPU clusters and container runtimes; Build and maintain workflow automation platforms for LLM/MCP/Agentic capabilities; Implement end-to-end RAG workflows and vector store infrastructure; Deploy and operate Agentic AI systems and MCP servers; Provide L2/L3 technical support and incident response; Develop automation tooling for platform reliability; Mentor team members and operations staff
Seniority
Senior, hands-on IC
