We’re looking for a motivated AI Engineer with strong software engineering fundamentals and hands-on experience building and deploying AI/ML solutions in the cloud. This role focuses on delivering production-grade, scalable, and secure AI services that power enterprise healthcare systems and improve customer experiences. Responsibilities AI/ML Deployment Containerize, deploy, and monitor AI/ML models in production environments Collaborate with data scientists and ML engineers on model integration Cloud & Infrastructure Design and manage cloud infrastructure using Terraform (IaC) Deploy and maintain AI services on AWS (Lambda, ECS/EKS, SQS, S3, IAM, CloudWatch) Backend Integration Integrate AI services with backend systems via RESTful APIs Implement authentication, session handling, and robust error handling Platform Engineering Architect multi-channel AI support (e.g., chat, voice) for consistent user experiences Code Quality & Testing Write clean, efficient, testable Python code Develop unit and integration tests and participate in code reviews Monitoring & Performance Track service performance, identify issues, and recommend optimizations Collaboration Work cross-functionally with product, QA, and platform teams in an Agile environment Required Skills & Experience 3+ years of professional software development experience At least 1 year in AI/ML, data science, or cloud infrastructure roles Healthcare or Medicaid experience is a strong plus Strong proficiency in Python Hands-on experience with: Docker, Kubernetes or AWS ECS CI/CD pipelines, Git, and Agile workflows Solid understanding of MLOps, model lifecycle management, and scalable system design Experience integrating third-party APIs and enterprise systems (e.g., healthcare CRMs) Familiarity with Terraform, JSON, and XML is a plus What You Can Expect Fully remote freelance work Flexible hours with clear deliverables Opportunity to work on mission-driven healthcare projects Potential for long-term or repeat engagements Application Deadline: January 31st, 2026