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 and Lead will guide the design and delivery of intelligent solutions to enhance patient management and operational efficiency.
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; prior experience with claims adjudication, care coordination, or patient engagement systems is highly desirable.
- Familiarity with AI-driven developer tools such as GitHub Copilot and Cursor.
- 2+ years of software engineering experience, including at least 1 year in a leadership role guiding teams or projects.
Responsibilities
- Architect and 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.
- Lead cross-functional architecture sessions, code reviews, and design workshops.
- Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems.
Other
- Strong communication skills with the ability to lead the team and drive product vision and mission to completion.
- Mentor engineers in modern AI/ML development practices, scalable system design, and secure operations.
- Partner with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals.
- Proven ability to collaborate effectively with both technical teams and healthcare stakeholders to deliver impactful solutions.
- Remote Opportunity.
