Forward Deployed AI Engineer

📋 Description

• Own work end to end — from discovery and solution shaping through system design, build, and
• Design and build the data foundation: data models, schema design, dimensional modeling, ETL/ELT
• Build full-stack applications on top of that foundation — Python/FastAPI services and Next.js
• Use AI coding agents (Claude Code or equivalent) as a primary build accelerator to move from spec
• Design and build AI capabilities where they fit — RAG pipelines, agentic workflows, and
• Orchestrate pipelines and automation with tools like Airflow, Dagster/Prefect, Celery, or Temporal

🎯 Requirements

• Genuine production depth across data engineering and full-stack development
• Data modeling and schema design — dimensional modeling, normalization trade-offs, and EDW/warehouse
• Hands-on data pipeline experience — ETL/ELT design across batch and incremental loads
• Slowly Changing Dimensions (SCD) and change-data handling
• dbt Experience — modular SQL transformations, tests, documentation, and incremental strategies
• Advanced SQL and at least one modern data platform in depth (e.g., Snowflake, Databricks)

🎁 Benefits

• Semi-annual team offsites — we come together in person at least twice a year
• High-autonomy, high-ownership work across the full arc of real client problems
• A team that takes AI tooling seriously and expects you to use it
• Access to the full modern data and AI stack — no one-tool shops
• Room to grow toward data architecture, platform leadership, or AI engineering depth