Agentic AI / Data Engineer - DC GPU
Posted Updated 18
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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