Software Product Engineer

Description

• 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.

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, Javascript 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. • Ability to obtain a government clearance

Benefits

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

Copyright © ReadingWaters 2025.