[Hiring] Senior OCR Engineer @Lyncas

Role Description

The project focuses on the development and enhancement of OCR (Optical Character Recognition) solutions for the automatic extraction of information from thousands of PDF documents — especially fees and recoverable amounts. The goal is to eliminate manual verification and achieve near 100% accuracy in extraction results.

• Develop and optimize OCR pipelines for reading and extracting structured and unstructured data from PDF documents.
• Create and maintain Python scripts for processing, validating, and transforming extracted data.
• Implement testing, performance tuning, and continuous improvements to OCR models and extraction rules.
• Collaborate with the client’s internal teams (engineering and business) to understand requirements and propose efficient technical solutions.
• Support technical documentation and the maintenance of the developed solution.

Qualifications

• Advanced English for technical collaboration with the client’s global team.
• Strong Python experience, ideally 8 to 10 years — automation, PDF manipulation, regular expressions, testing.
• Hands-on use of AI tools such as Claude or Codex, with a focus on prompt engineering.
• Solid (Senior-level) experience in OCR projects.
• Experience with data pipelines, modeling, and integration of results (e.g., JSON, CSV, APIs).
• QA experience.
• AWS experience.
• Familiarity with agentic workflows.
• Strong analytical skills and attention to detail to ensure high accuracy.

Requirements

• Previous experience in document automation projects within energy, utilities, or finance companies (Nice-to-Have).
• Knowledge of Machine Learning applied to OCR (e.g., layout analysis, entity recognition) (Nice-to-Have).
• Familiarity with Google Vision, AWS Textract, or Azure Cognitive Services (Nice-to-Have).
• Experience with Gemini (Nice-to-Have).
• Architecture background (Nice-to-Have).

Benefits

• 100% remote opportunities 👨🏻‍💻
• Home office allowance 💻
• Regular feedback 💬
• Referral program 🏅
• Psychological support 🙋🏻‍♂️
• Workplace exercise sessions 🏋️
• Knowledge academy 🧠
• Partnership with an English school 🔤
• Monthly transparency meetings 🔃
• Online happy hours 🍻
• Welcome kit 🎁