Backend Developer — Python / FastAPI / Data Pipelines

The project is a US-focused legal-tech platform that combines workflow automation, task management, legal research, and AI agents in one system.
A major upcoming component is a legal data and research infrastructure that will continuously collect information from official US legal sources, including legislation, laws, court decisions, and related public-domain legal data.
The goal is to build a scalable system that can:

• continuously ingest data from multiple legal sources;
• detect and process updates as laws and cases change;
• extract and structure information from documents;
• categorize and classify legal data;
• provide search capabilities for both lawyers and AI agents;
• support tracking of relationships and changes in legal information over time.

The current backend is built with Python and FastAPI using a modular service architecture.
Tech stack

• Python
• FastAPI
• Apache Airflow or similar workflow/orchestration tools
• Document processing / OCR pipelines

Key responsibilities

• Design and implement scalable data-ingestion pipelines from multiple external sources.
• Build configurable source integrations that can be managed through an operations panel.
• Process documents through OCR, structured extraction, and data transformation pipelines.
• Categorize and classify large volumes of legal data.
• Build backend capabilities supporting search and data exploration.
• Help design a lightweight knowledge-graph layer for tracking relationships and changes in legal data.
• Implement monitoring and fallback mechanisms for unavailable or changed data sources.
• Maintain modular backend services with clear interfaces/contracts.

Requirements

• Strong Python development experience.
• Commercial experience with FastAPI or similar Python backend frameworks.
• Experience building ETL/data-ingestion pipelines.
• Experience with Apache Airflow or comparable orchestration technologies.
• Understanding of scalable data-processing architectures.
• Experience integrating external APIs, feeds, scraping, or other data sources.
• Experience with document processing, OCR, search systems, or knowledge graphs would be a strong plus.
• Strong software architecture and OOP skills.

• Recruitment process:
  • Recruiterment interview
  • Technical interview
  • Client interview