AI Engineer

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

At Gainwell, we're using leading-edge technologies to support public health and human services programs across the U.S. If you're looking to apply your technical skills toward meaningful, large-scale work, you’ll find purpose and opportunity here. We offer flexible work arrangements, robust career development, and a collaborative, mission-driven culture.

Position Summary

Gainwell Technologies is seeking a motivated AI Engineer with strong software professional with 3+ years of hands-on experience in AI/ML, cloud engineering, backend systems and infrastructure as code. The role focuses on designing, developing, and implementing intelligent, data-driven solutions to improve healthcare enterprise systems, and customer experiences.

In this role, you will bring foundational data science skills paired with hands-on experience deploying models in highly compliant cloud platform, working alongside product teams, analysts, and UX designers to turn requirements into reliable, performant solutions. Your focus will be building production-grade AI systems that are secure, maintainable, and easy to scale.

Key Responsibilities

• Development: Collaborate with data scientists and ML engineers to containerize, deploy, and monitor AI/ML models.
• Infrastructure-as-code: Design, build, manage cloud infrastructure using Terraform to support scalable, secure, and cost-efficient AI workloads.
• Manage AI Services: Deploy and manage AI services preferably on AWS (e.g., SQS, Lamda, ECS/EKS, S3, IAM, CloudWatch).
• Backend Integration: Connect AI Services to backend systems and services via RESTful APIs, leveraging authentication, session management, and error handling best practices.
• Platform Engineering: Architect and implement multi-channel support (chat, voice) to ensure consistent experiences across platforms.
• Code Quality & Testing: Write clean, efficient, testable code. Develop unit and integration tests and participate in code reviews.
• Performance Monitoring: Use analytics tools to track AI Services performance, identify issues, and recommend improvements.
• Cross-Functional Collaboration: Work closely with Platform engineers, QA testers, and product managers to align development with business goals.

Required Skills & Experience

• ·  3 years of Software Development experience, including at least 1 year in Data Science, Machine Learning, or Cloud Infrastructure roles, preferably within Healthcare or Medicaid environments
• ·  Proficient in Python; familiarity with Terraform, JSON, and XML is a plus
• ·  Hands-on experience with containerization tools like Docker and orchestration platforms such as Kubernetes or ECS
• ·  Skilled in CI/CD Pipelines, version control systems (e.g., Git), and Agile Development Methodologies
• ·  Proven ability to integrate third-party APIs and Enterprise Systems, including CRM Platforms commonly used in Healthcare IT
• ·  Strong understanding of MLOps Principles, Model Lifecycle Management, and collaborative Problem-Solving in Agile Teams

What You Can Expect

• Fully remote work with flexible hours.
• Support for certifications, ongoing education, and career advancement.
• A mission-driven team committed to improving healthcare access and equity.

NOTE: Video cameras must be used during all interviews, as well as during the initial week of orientation