Agentic AI / Data Engineer - DC GPU
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Context engineering | Data Quality | Data poisoning | Embedding pipelines | Evaluation | Graph Databases | Kubernetes | LLM | LLM-as-a-Judge | Prompt injection | Python | RAG | ROCm | Regression testing | Relational databases | Retrieval | SGLang | Security | Streaming inference | Tool-Calling | VLLM | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Applied AI Engineer | Data Engineer | Engineer
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