Senior Data Engineer Llm Pipelines
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As a Senior Data Integration Engineer, you will enrich structured, semi-structured, and unstructured data for enterprise AI. The role combines semantic context, connectors, and scalable integration with responsible governance. You will help create trusted foundations for agents, copilots, and orchestration frameworks.
Key Responsibilities
Integrate structured and unstructured data from diverse systemsEnrich datasets with semantic context and metadataEnable LLM ingestion, RAG pipelines, and embeddingsDocument integration and orchestration patterns for reuseProvide blueprints for agent interaction with enterprise dataRequirements:
Proven experience with scalable data pipeline developmentExpertise in embeddings and vector databasesStrong data modeling and semantic enrichment skillsKnowledge of Airflow, Prefect, or DagsterUnderstanding of governance, compliance, and AI ethicsUse data integration, semantic modeling, and LLM pipeline expertise to advance responsible enterprise AI adoption.
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