Agentic AI / Data Engineer - DC GPU

What you’ll do

• Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, tool calling, and streaming inference with ROCm-based stacks.
• Design and operate memory and context data layers for agentic applications, including vector, graph, and relational stores.
• Develop the Applied AI team's engagement memory and fleet data infrastructure to ingest telemetry and field knowledge.
• Create and maintain a reusable, versioned skills library encoding deployment expertise.

What you’ll bring

• Deep software engineering experience with production data engineering at scale.
• Hands-on experience building LLM-powered and agentic applications in production.
• Depth in at least one memory/context storage paradigm (vector, graph, or hybrid).
• Strong Python and fluency with modern data stack tooling and Kubernetes.

Technologies

AMD Instinct · ROCm · vLLM · SGLang · MCP · Kubernetes · Python · vector databases · graph databases · RAG