Senior Document Processing Engineer (AI)

TL;DR

Senior Document Processing Engineer (AI): Developing and evolving an AI-powered platform for automated invoice processing, transforming raw documents into structured data with an accent on integrating OCR, classical algorithms, and modern ML/LLM approaches. Focus on driving technical evolution, expanding support for new document types, and contributing to a scalable, cloud-native architecture.

Location: Hybrid, based in Cracow, Poland.

Company

hirify.global is a global leader in cloud-based spend management solutions, founded in Sweden in 2001, using Artificial Intelligence to simplify accounts payable and empower finance teams.

What you will do

• Develop and evolve the end-to-end automatic document processing pipeline, from OCR and text extraction to structured data output.
• Evaluate, test, and integrate new technologies and services as the extraction landscape evolves.
• Design solutions that bridge classical algorithmic methods with modern machine learning and LLM-based techniques.
• Prototype new ideas in Python and build production-grade services in C#/.NET on Azure.
• Work closely with ML specialists and engineering teams across Sweden, Poland, and Tunisia to deliver cohesive improvements.

Requirements

• Experience in document processing, information extraction, OCR, NLP, or strong computer science fundamentals (algorithms, data structures, applied mathematics).
• Proficiency in automating, designing, building, updating, and maintaining appropriate test sets for effective benchmarking.
• Proficiency in C# and Python.
• Familiarity and comfort working across a cloud-native environment using Azure and .NET technologies.
• Fluency in English is required for team collaboration.

Culture & Benefits

• Collaborative and meritocratic work culture with supportive leadership.
• Opportunity for career and professional development.
• Values of Connect, Question, and Own guide work and growth.
• Diverse, global community where curiosity is celebrated and ideas matter.
• Commitment to fair and equitable compensation practices, including variable compensation and benefits.