Opportunity Description
Job Description:
Own the architecture, development, and productionization of core AI data product capabilities, including natural language to SQL, dashboard generation, and insight / report generation. Build production-grade LLM application pipelines for enterprise data scenarios, including:
metadata and schema retrieval semantic layer and metric understanding query planning and SQL generation SQL validation, rewriting, and execution visualization spec generation narrative insight generation
Design and implement reliable backend services and platform capabilities that balance accuracy, access control, explainability, observability, latency, and cost. Deeply understand user workflows in analytics and data consumption, and translate ambiguous business questions into scalable, reusable engineering systems. Work closely with Data Infra, Data Engineering, BI, Frontend, Design, and AI / ML engineering teams to deliver products from zero to one and scale them from one to many. Establ...
Own the architecture, development, and productionization of core AI data product capabilities, including natural language to SQL, dashboard generation, and insight / report generation. Build production-grade LLM application pipelines for enterprise data scenarios, including:
metadata and schema retrieval semantic layer and metric understanding query planning and SQL generation SQL validation, rewriting, and execution visualization spec generation narrative insight generation
Design and implement reliable backend services and platform capabilities that balance accuracy, access control, explainability, observability, latency, and cost. Deeply understand user workflows in analytics and data consumption, and translate ambiguous business questions into scalable, reusable engineering systems. Work closely with Data Infra, Data Engineering, BI, Frontend, Design, and AI / ML engineering teams to deliver products from zero to one and scale them from one to many. Establ...
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