Jobs at Avontix

The AI Engineer will design and implement machine learning models and NLP solutions for healthcare applications, develop MLOps practices, and ensure HIPAA compliance while collaborating with data scientists to improve revenue cycle management processes.

The role involves reviewing claims, ensuring accuracy, using payment calculators, managing accounts, and providing documentation to expedite claims. Prioritizing accounts based on value and aging is essential.

The Sr. Full Stack Developer will architect and develop full-stack features, lead technical discussions, mentor developers, optimize databases, implement RESTful APIs, and ensure engineering best practices in an Agile environment.

The Senior Full Stack Developer will design, implement, and maintain web applications using .NET (C#) and React JS, ensuring high performance and collaboration across teams in an Agile environment.

Design and implement prompt-driven language model features for revenue cycle data. Collaborate with AI teams to create reliable outputs and streamline tasks for users.

The Manager of Quality Coding oversees the QA team, ensuring adherence to standards and productivity. Responsibilities include managing coding quality, monitoring scores, providing feedback, analyzing trends, and collaborating with business units for performance enhancements.

The QA Engineer will develop and execute test plans, perform manual and automated testing, and collaborate with development teams to improve software quality.

The role involves leading operational improvement initiatives, managing transformation projects, collaborating across functions, and driving organizational change using Lean Six Sigma methodologies.

Monitor and process incoming client correspondence via eBridge, identify and download document types, route to appropriate internal teams, document actions in Precision Flow, maintain audit logs, ensure HIPAA compliance, and support account coordination and administrative tasks.

Design, build, and maintain cross-platform React Native mobile apps for healthcare. Integrate APIs and third-party services, optimize performance, modify native iOS/Android code, manage app releases, and ensure data security and compliance while collaborating with product, design, and backend teams.

The Senior AI/ML Engineer will design and operate machine learning systems in healthcare revenue operations, collaborating with teams to enhance efficiency and reduce costs. Responsibilities include developing ML solutions, setting up testing dashboards, mentoring junior engineers, and optimizing document analysis processes.

The Data Integration Engineer designs and maintains data integration pipelines, implements healthcare standards, ensures compliance, and collaborates with various teams to optimize data processing in healthcare systems.