AI Infrastructure Engineer

Job Summary

Owning the development of an intelligence layer, the full-time AI Infrastructure Engineer will design and maintain data pipelines, build multi-step AI agents, and create full-stack applications that transform raw data into actionable insights, all while working remotely.

Key responsibilities

• Build and maintain systems that collect and process signals from various data sources to inform account and campaign decisions
• Design data pipelines for ingesting, enriching, and modeling data from multiple external APIs
• Create full-stack applications and dashboards that provide accessible intelligence across client accounts

Required qualifications

• Proficiency in Python for data processing and pipeline development
• Experience with REST and GraphQL APIs for building integrations
• Strong SQL skills for schema design and data manipulation
• Full-stack development experience, particularly with Next.js or similar frameworks
• Familiarity with on-chain data querying and analysis, such as using Dune Analytics