Software Engineer - (RPA/Computer Vision)

About this role

We are a globally leading software services company specializing in developing enterprise-level projects for clients worldwide. Our team is a unique blend of diverse skill sets, cultures, and backgrounds—a true melting pot of talent. One of the most rewarding aspects of working at Curotec is the opportunity to learn something new every day, not just about technology but also about our amazing team members. Visit our website to discover more about who we are and what we do.

We are seeking a Software Engineer to independently build and maintain intelligent automation solutions focused on Revenue Cycle Management (RCM) in the healthcare industry, with a specialization in computer vision-driven RPA. In this mid-level role, you will own discrete features and automation modules end-to-end, applying strong Python skills with a heavy emphasis on OpenCV, image-based desktop automation (e.g., PyAutoGUI), and OCR workflows.

You will also build and maintain browser-based automations using Selenium when the target system requires it. You will work with growing autonomy, collaborate across teams, and begin to share your technical knowledge with less experienced engineers. What You Will Do: Computer Vision Automation: Design, implement, and maintain OpenCV-driven automations for RCM workflows that depend on image recognition, template matching, document understanding, and visual element detection.

Desktop & Image-Based RPA: Own end-to-end automation of legacy desktop and thick-client applications using image-based control (e.g., PyAutoGUI, template matching, coordinate-based interaction) where no API or DOM is available. OCR & Document Extraction: Apply OCR and document-parsing techniques to extract structured data from scanned EOBs, remittance advices, correspondence, and payer documents. Web Automation: Build and maintain Selenium-based automations for payer portals, EHR web interfaces, and other browser-based workflows as a secondary but important part of the role.

Automation Development: Deliver robust Python automation scripts for RCM processes with limited supervision, following team coding standards and review practices. AI/ML Integration: Apply AI/ML techniques (e.g., OCR, NLP, predictive analytics) to enhance automation quality and improve process outcomes. System Integration: Integrate automation solutions with billing software, EHR systems, and healthcare web portals independently.