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

The deadline to submit applications for this posting is January 31, 2026

The pay range for this position is $147,200.00 - $210,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.

Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Gainwell Technologies AI Jobs

Latest Jobs

AI Engineer