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Shared by 
28 days ago
Requirements and responsibilities
Build data infrastructure for AI-powered products and LLM applications; design and optimize RAG pipelines and vector database systems; work with the modern data stack (dbt, Spark, Airflow, cloud warehouses); own the end-to-end data lifecycle from ingestion to serving and governance; enable teams to deliver AI solutions with high-quality, reliable data; collaborate with international teams in a remote-first environment.
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