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Position Overview:
- Design and deliver intelligent solutions across care coordination, claims management, and patient engagement platforms.
- Combine software engineering expertise in AI/ML system design and development.
- Focus on data-driven insights that improve patient management and operational efficiency.
Key Responsibilities:
- 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.
Required Qualifications:
- 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 understanding of cloud-native microservices.
- Proven ability to collaborate effectively with both technical teams and healthcare stakeholders.
EZ Labs
EZ Labs is committed to transforming healthcare delivery through technology, innovation, and compassion. They partner with care teams, payers, and providers to improve how patients experience care. The company integrates advanced analytics and secure platforms to enable smarter decisions.