Strong proficiency in Python programming with 2+ years of experience.
Hands-on experience with OpenCV for image recognition and visual data extraction.
Familiarity with image-based desktop automation tools like PyAutoGUI.
Working knowledge of Selenium for browser automation.
Understanding of healthcare RCM workflows and HIPAA compliance.
Effective communication skills for collaboration with technical and non-technical teams.
Experience with version control tools like Git.
Responsibilities
Design and implement OpenCV-driven automations for RCM workflows.
Own end-to-end automation of legacy desktop applications using image-based control.
Apply OCR techniques to extract structured data from healthcare documents.
Build and maintain Selenium-based automations for web interfaces.
Deliver robust Python automation scripts with limited supervision.
Integrate automation solutions with billing software and EHR systems.
Monitor and optimize automations for accuracy and efficiency.
Benefits
Opportunity to work independently on impactful automation solutions.
Collaborative environment with cross-team interactions.
Focus on innovative technologies like AI/ML in automation.
Exposure to healthcare industry challenges and solutions.
Potential for professional growth and knowledge sharing.
Full Job Description
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.
Compliance: Ensure all automation adheres to healthcare data privacy and security regulations (e.g., HIPAA).
Documentation: Create and maintain comprehensive technical documentation for automation workflows you own.
Monitoring & Optimization: Monitor, troubleshoot, and optimize automations for accuracy, efficiency, and reliability - particularly for CV-based workflows that are sensitive to UI drift and image variability.
Resilience: Build automation workflows that integrate reliably with legacy desktop systems, Citrix/virtual environments, and modern web platforms.
Collaboration: Work alongside SMEs and operations teams to translate manual workflows into digital automation.
Security: Maintain secure credential handling, logging, and audit trails consistent with HITRUST/HIPAA compliance.
Hands-on, production experience with OpenCV for image recognition, template matching, and visual data extraction.
Experience with image-based desktop automation libraries (e.g., PyAutoGUI) and comfort automating applications that expose no API or DOM.
Working experience with Selenium for browser-based automation.
Working knowledge of healthcare RCM workflows (e.g., billing, coding, claims, denial management).
Solid understanding of HIPAA and healthcare security best practices.
Strong analytical, debugging, and documentation skills.
Effective communicator with both technical and non-technical teams.
Proficiency with version control tools (e.g., Git).
2+ years of professional software development experience in Python or a closely related language.
Ability to ramp quickly in a contract engagement and deliver production work with limited onboarding.
Strong analytical and problem-solving skills applied to complex data and workflow scenarios, including non-deterministic visual environments.
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Practical experience with OCR engines (e.g., Tesseract, PaddleOCR) or cloud document-intelligence services.
Experience automating applications inside Citrix, RDP, or other virtualized/remote environments where image-based control is required.
Practical experience applying AI/ML tools such as NLP or predictive modeling to automation use cases.
Demonstrated experience contributing to automation of healthcare revenue cycle workflows including eligibility, claims processing, payments, and denials management.
