Key skills
AirflowETLPythonSQLAIMLLLMELTLeadership
About this role
Role Overview
- Architect and scale the systems that power AI-driven valuation tools
- Lead development of data ingestion pipelines and enrichment workflows
- Develop systems to support LLM
- and ML-based document parsing
- Own architecture of data storage and processing stack
- Operationalize AI/ML workflows by preparing clean training and inference datasets
- Collaborate with backend engineers, domain experts, and product leadership
Requirements
- B.S in Computer Science or equivalent
- 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role
- Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal
- Have designed or maintained web scraping pipelines at scale
- Understand tradeoffs between ETL and ELT
- Have worked with LLM APIs or ML models in production
Tech Stack
- Airflow
- ETL
- Python
- SQL
Benefits
- Meaningful equity
- Competitive compensation
- High-impact role
- Remote-flexible culture