You will join a small engineering team of 3–5 developers working on an AI-powered web application for a financial services client.

The project focuses on automating XBRL tagging for tailored shareholder reports (TSRs) used by investment funds. The application uses Large Language Models (LLMs) to intelligently identify and tag financial data, including metadata that may not be directly visible in the document text.

The team is currently taking an existing proof-of-concept toward a production-grade platform, with a target of reducing manual tagging efforts from hours to minutes while meeting all regulatory, technical, and business requirements.

This is an early-stage product, giving the team the opportunity to contribute to architecture, engineering standards, AI integration, and the evolution of the platform as it moves into production.

What You'll Do
- Drive the production hardening of the current proof-of-concept, including code quality, performance optimization, scalability, and reliability improvements.
- Establish foundational infrastructure and architectural patterns,



including pipeline architecture, logging, configuration management, and error handling.
- Build and maintain Python-based backend services and REST APIs supporting the AI tagging workflow.
- Develop and evolve the web user interface, ensuring usability and alignment with engineering standards.
- Build document processing pipelines for structured and semi-structured documents, including parsing, transformation, and metadata extraction.
- Work with XML and XHTML processing to handle input data and generate compliant XBRL packages.
- Integrate and orchestrate Large Language Models within production applications, including prompt engineering, workflow orchestration, error handling, and result evaluation.
- Collaborate with the R&D; team to understand AI tagging improvements and translate them into engineering requirements.
- Participate in code reviews, architecture discussions, technical design, a

📌 Senior Full-Stack Python (México)
🏢 Improving South America
📍 México