Agentic AI / Data Engineer - DC GPU

Summary

Build and harden production Agentic AI systems including embedding pipelines, retrieval strategies, agent memory/context data layers, evaluation infrastructure, and streaming inference integration with serving stacks on DC GPU infrastructure.

- Build embedding pipelines and retrieval strategies - Build production Agentic AI systems - Create evaluation infrastructure for agent systems - Create reference architectures and open artifacts - Design agent memory and context data layer - Develop reusable skills library - Harden systems against prompt injection and data poisoning - Implement behavioral test harness and monitoring - Ingest deployment telemetry into data pipelines - Integrate streaming inference with serving stacks - Orchestrate agents and tool calling - Support customer deployments in production

See also

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