Full Stack AI Engineer (Data)

📋 Description

• Own work end to end—from discovery to production deployment.
• Design the data foundation: models, schema, ETL/ELT, and SCD.
• Build full-stack apps on top of that foundation: Python/FastAPI and Next.js.
• Use AI coding agents (Claude Code or equivalent) as a primary build accelerator.
• Design AI capabilities: RAG pipelines, agentic workflows, and LLM-in-the-loop.
• Orchestrate pipelines and automation with Airflow, Dagster/Prefect, Celery, or Temporal.

🎯 Requirements

• Data modeling and schema design (dim modeling, EDW/warehouse design).
• ETL/ELT design across batch and incremental production.
• SCD and change-data handling.
• Advanced SQL and a modern data platform (Snowflake/Databricks).
• Full-stack Python: FastAPI and Next.js.
• CI/CD and cloud deployments on AWS or Azure.

🎁 Benefits

• Fully remote — work from anywhere globally.
• Semi-annual team offsites.
• High-autonomy, high-ownership work across client problems.
• Access to the full data and AI stack.
• Room to grow toward data architecture or AI engineering depth.
• AI tooling deeply integrated into workflows.