AI Solutions Engineer - Remote

Overview

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.

In Short

• 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.

Requirements

• 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.
• 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.
• Proven ability to collaborate effectively with both technical teams and healthcare stakeholders.
• Ability to obtain a government clearance.

Benefits

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