AI Solutions Engineer (Remote Opportunity)

Bachelor’s degree in computer science, Software Engineering, or related technical field. Experience with Agent-2-Agent (A2A) and Model Context Protocols (MCP). Strong communication skills. Strong coding ability in Python, TypeScript, and Node.js. Solid understanding of cloud-native microservices and event-driven architectures. Strong understanding and experience using AWS cloud native services and tools. Hands-on experience applying LLMs, NLP, or Intelligent Document Processing (IDP) in production environments (OpenAI, Bedrock, Cohere, or Claude). Knowledge of healthcare interoperability standards (FHIR, HL7, X12) and data governance. Prior experience with claims adjudication, care coordination, or patient engagement systems is desirable. Familiarity with AI-driven developer tools (GitHub Copilot, Cursor). Proven ability to collaborate with technical teams and healthcare stakeholders. Ability to obtain a government clearance.

Implement AI-enabled backend services in a cloud-native microservices environment. Design and scale Intelligent Document Processing (IDP) pipelines. Integrate LLMs and intelligent agents into clinical and claims workflows. Build AI Agents to surface insights from clinical data. Translate ML outputs into decision-ready intelligence. Support architecture sessions, code reviews, and design workshops. Engineer modern AI/ML development practices and scalable system design. Design scalable APIs and data models for secure data exchange. Translate business and clinical requirements into technical designs. Create design documentation and technical blueprints.