AI Product Engineer (Remote Opportunity)

Seeking a hands-on and technically strong AI Product Engineer to guide the design and delivery of intelligent solutions across our unified care coordination, claims management, and patient engagement platforms. This role combines software engineering expertise in AI/ML system design, full-stack development, and a practical focus on data-driven insights that improve patient management and operational efficiency. As a team player, you will support technical implementation efforts and collaborate with clinical, operations, and business teams to operationalize AI solutions that directly enhance patient care and claim’s accuracy. Implement AI-enabled backend services within a secure, cloud-native microservices environment. Design and scale Intelligent Document Processing (IDP) pipelines to extract and validate data from claims, authorizations, and medical documentation. Integrate LLMs and intelligent agents into clinical and claims workflows to streamline patient and provider interactions. Build AI Agents that surface actionable insights from EHR, claims, and unstructured clinical data. Translate ML outputs into decision-ready intelligence for providers, payers, and operations leaders. Support cross-functional architecture sessions, code reviews, and design workshops. Engineer modern AI/ML development practices, scalable system design, and secure operations. Work with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals. Drive continuous improvement by identifying opportunities to enhance system performance, scalability, and maintainability. Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems. Translate business and clinical requirements into technical designs that are intuitive for end-users and sustainable for engineering teams. Create design documentation and technical blueprints that guide implementation and ensure alignment with enterprise healthcare standards.