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.