AI Product Engineer (Remote Opportunity)

At EZ Labs, we are committed to transforming healthcare delivery through technology, innovation, and compassion. We partner with care teams, payers, and providers to improve how patients experience care, how claims are processed, and how care coordination is managed across the continuum. By integrating advanced analytics, intelligent automation, and secure platforms, we enable smarter decisions, seamless patient engagement, and more efficient claims management. Together, we are shaping a healthcare ecosystem that delivers better outcomes for patients, providers, and payers.

Position Overview

We are 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.

Key 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.
• 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.

Required Qualifications:

• Bachelor’s degree in computer science, Software Engineering, or a related technical field.
• Experience in using and designing with Agent-2-Agent (A2A) and Model Context Protocols (MCP).
• Strong communications skills with ability to drive product vision and mission to completion.
• 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.
• Proven ability to collaborate effectively with both technical teams and healthcare stakeholders to deliver impactful solutions.

Benefits:

• Medical/Dental/Vision
• 401k with Employer Match 
• PTO + Federal Holidays  
• Corporate Laptop 
• Training opportunities  
• Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.