About this role
Firmable is an AI-native B2B sales intelligence platform seeking a Senior Data Engineer to architect the transformation and warehouse layer that processes billions of raw records. You will design production infrastructure for LLM-based extraction, enrichment, and validation, making critical architecture decisions regarding model design, cost, performance, and orchestration. Responsibilities include building LLM-in-the-pipeline architectures, designing evaluation harnesses (scorers, judge calibration, regression suites), and establishing standards for rule-based vs. LLM-based data processing. You will own observability for LLM calls, warehouse performance in Snowflake, and orchestration via Airflow. Requirements: 5+ years of experience in production data platforms, 2+ years with Snowflake, and proven experience shipping LLMs in production data pipelines. You must be an expert in Python, SQL, dbt, and Airflow, with solid AWS skills. Highly valued: experience with eval frameworks (Braintrust, Promptfoo), vector search, fine-tuning, and streaming technologies. This is a fully remote, hands-on senior engineering role requiring a product mindset and the ability to work with AI coding tools like Claude Code or Cursor.