Software/AI Developer

Company Description Aegis is a healthcare technology and services company focused on optimizing medical office administration so providers can prioritize patient care. The organization specializes in charting, billing, credentialing, compliance, revenue cycle management, and AI-driven analytics to improve financial performance and patient satisfaction. Aegis leverages AI, automation, and data analytics to enhance accuracy in billing, maintain HIPAA and OIG compliance, and provide transparent performance insights through tools like Analytics360. Since 2020, Aegis has supported more than 250 practices across 15+ specialties in the United States, processing over 2 million claims annually and achieving measurable revenue growth. The team includes 175+ certified professionals with multiple AAPC certifications, delivering high-quality, compliant, and patient-centric solutions.

Role Description The Software/AI Developer will design, develop, and maintain AI-powered software solutions that support medical billing, coding, and revenue cycle management workflows. Day-to-day responsibilities include building and optimizing algorithms for pattern recognition and natural language processing, implementing and training neural network models, and integrating AI components into existing software systems. The role involves collaborating with product managers, billing experts, and data analysts to define requirements, validate models, and ensure solutions are scalable, secure, and compliant with healthcare regulations. The developer will also participate in code reviews, performance tuning, documentation, and ongoing maintenance of AI and software services. This is a full-time, on-site role based in Chennai.

Qualifications

• Strong foundation in Computer Science with experience in Software Development for production-grade applications.
• Demonstrated skills in Pattern Recognition and Neural Networks for real-world data and predictive modeling.
• Hands-on experience with Natural Language Processing (NLP) techniques and frameworks for text-based healthcare data.
• Proficiency in modern programming languages (such as Python) and AI/ML libraries (such as TensorFlow, PyTorch, or scikit-learn).
• Understanding of databases, APIs, and cloud-based architectures; experience integrating AI solutions into existing systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Ability to work collaboratively in cross-functional teams, communicate complex technical concepts clearly, and follow secure coding and data privacy practices.