EZ Labs is looking to transform healthcare delivery through technology, innovation, and compassion by improving how patients experience care, how claims are processed, and how care coordination is managed. The AI Product Engineer will guide the design and delivery of intelligent solutions across their unified care coordination, claims management, and patient engagement platforms to achieve these goals.
Requirements
- Experience in using and designing with Agent-2-Agent (A2A) and Model Context Protocols (MCP).
- Strong coding ability in Python, TypeScript, and Node.js, with a solid understanding of cloud-native microservices and event-driven architectures.
- Strong understanding and experience in using AWS cloud native services and tools.
- Hands-on experience applying LLMs, NLP, or Intelligent Document Processing (IDP) in production environments, using platforms such as OpenAI, Bedrock, Cohere, or Claude.
- Knowledge of healthcare interoperability standards (FHIR, HL7, X12) and data governance in regulated environments.
- Familiarity with AI-driven developer tools such as GitHub Copilot and Cursor.
- Prior experience with claims adjudication, care coordination, or patient engagement systems is highly desirable.
Responsibilities
- 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.
- Engineer modern AI/ML development practices, scalable system design, and secure operations.
- Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems.
Other
- 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.
- Support cross-functional architecture sessions, code reviews, and design workshops.
- Work with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals.
- 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.
