Python Developer / AI Engineer (Document Processing)

Responsibilities

• Analyze and process documents in Excel, PDF formats, and scans
• Extract tabular data from documents
• Normalize dates, document numbers, amounts, and other fields
• Design and implement data matching logic
• Identify discrepancies between two sources
• Handle complex cases: different periods, varying numbers, partial matches, and other ambiguous situations
• Integrate OCR and Document AI tools
• Use LLM when necessary for interpretation and generating human-readable explanations
• Develop backend/API for the service
• Participate in designing the architecture of the MVP
• Work with real anonymized financial documents and test solution quality on historical data

Requirements

• 3+ years of commercial experience in Python development
• Strong proficiency in Python
• Experience with pandas and tabular data
• Experience processing Excel / CSV
• Experience parsing PDF
• Experience developing backend services and REST APIs
• Understanding of matching, normalization, and data cleaning algorithms
• Ability to design solutions independently, not just work from existing specifications
• Experience with Git
• Plus:

- Experience with OCR: Tesseract, PaddleOCR, or similar - Experience with PyMuPDF, pdfplumber, Camelot, Tabula - Experience with fuzzy matching - Experience with Document AI / Intelligent Document Processing - Integration of LLM APIs: OpenAI, Azure OpenAI, YandexGPT, or similar - Experience developing reconciliation / data matching systems - Experience with financial, accounting, or other structured documents - Experience with On-Premise solutions - Experience building solutions that combine deterministic business logic and AI