Build data infrastructure for AI products at enterprise scale

full-time

Highly competitive

Overview

Build the data backbone for AI applications used by millions. You'll design pipelines that ingest messy enterprise data, transform it into clean datasets, and serve it through performant APIs. Work spans the full stack: database schema design, ETL pipelines, API development, query optimization. You'll make architectural decisions that directly impact product performance and reliability.

Responsibilities

• Design and implement data pipelines for client AI applications
• Build APIs that serve ML models and analytics dashboards
• Optimize database queries and schema for scale
• Debug data quality issues and implement validation logic
• Monitor system performance and respond to incidents
• Code review and mentor junior engineers

Requirements

• 5+ years building ...