Senior JavaFX Engineer (AI Invoice Reader → CSV)

The mission

Build a desktop  JavaFX  application that lets non-technical users drop in invoices (PDF / image) and export clean  CSV data. Invoices come in all shapes—your job is to make the app read them like a human : robust parsing, confidence scoring, and easy validation.

What you’ll build

• JavaFX desktop app  (Java 17+) with a clean, responsive UI
• Invoice ingestion : PDF, PNG / JPG, multi-page, batches, drag-and-drop
• AI / OCR pipeline  (choose best fit; hybrid is fine) :
• Classical OCR (e.g.,  Tesseract ) + layout analysis  or
• Cloud OCR (e.g.,  AWS Textract ,  Google Vision )  or
• LLM-assisted parsing (prompting / JSON schema) with guardrails
• Field extraction  (line-items + headers) : vendor, invoice #, dates, currency, taxes, subtotals / totals, PO, line descriptions, qty, unit price, amounts
• Validation & review UI : highlight zones, flag low-confidence fields, quick fixes, autocomplete
• CSV export : stable schema, locale / number / date normalization
• Rules & heuristics : vendor templates, regex fallbacks, learned patterns
• Quality metrics : confidence scores, per-field accuracy, reject reasons, simple analytics
• Operate offline where possible  with optional cloud connectors

You’re a great fit if you have

Nice to have

Tech we expect to use (flexible)

Java 17+, JavaFX, Gradle ,  Tesseract / OpenCV  or  Textract / Vision , optional  Python micro-services  for ML bits,  SQLite  for local cache,  JUnit  + test fixtures,  GitHub Actions  CI.

Success looks like

What we provide