Full Stack Developer (Remote Opportunity)

VetsEZ•Dallas, TX

5d•Remote

About The Position

VetsEZ is seeking a remote Full Stack Developer/Software Engineer to join our remote team. The ideal candidate will have a strong background in software development with a robust background in both front-end and back-end development. You will be responsible for designing, developing, and implementing high-quality software solutions throughout the development process. You will also 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. The candidate must reside within the continental US.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Experience using and designing with Agent-2-Agent (A2A) and Model Context Protocols (MCP).
Strong communication skills with the ability to drive product vision and mission to completion.
Proficient in Python, TypeScript, and Node.js, with solid understanding of cloud-native microservices and event-driven architectures; experienced with AWS cloud-native services and tools.
Hands-on experience applying LLMs, NLP, or 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 preferred.
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.

Responsibilities

Design, develop, and maintain full-stack applications using Java, Spring, Python, React/Angular, and SQL/Postgres to support healthcare and federal systems.
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.
Collaborate 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.