Senior AI Engineer

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.

We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued.

Medica is seeking a Senior AI Software Engineer to design, build, and scale our next-generation AI agents, applications, and platform capabilities. You own complex AI solutions from technical design through production operation and help establish the engineering patterns that enable teams across Medica to build with AI safely, reliably, and quickly.

You combine strong software engineering fundamentals with hands-on experience using modern AI models, agent architectures, cloud infrastructure, and developer tooling. You operate with high autonomy, turn ambiguous business and technical problems into practical solutions, and make sound architectural tradeoffs.

This role is expected to have an informed, opinionated perspective on how AI changes software engineering and how work gets done. You actively experiment with emerging technologies while maintaining a strong bias toward production reliability, measurable outcomes, security, maintainability, and appropriate use of AI in healthcare.

• Support the design, implementation, and deployment of AI pipelines and systems. Assist with evaluation setup, benchmarking, and integrating components into products. Focus on building reliable and observable systems under guidance.

• Help prototype and build AI powered features. Assist in addressing healthcare and technical challenges using modern AI tools and frameworks.

• Participate in architectural discussions, code reviews, and pair programming. Apply engineering best practices and contribute clean, maintainable code.

• Stay current with AI trends and tools. Explore new approaches and share learnings. Support the evaluation and adoption of emerging technologies.

• Bachelor's degree or equivalent experience in related field
• 3+ years of AI work experience
• 5+ years of software/platform engineering experience
• Strong software development skills using Python, Go, Type Script, or comparable backend languages.

• Demonstrated experience designing, building, deploying, and operating cloud-native applications on AWS, Azure, GCP, or comparable platforms.
• Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.
• Strong working knowledge of Docker, containerization, CI/CD, Git Hub, and modern software delivery practices.
• Experience with Kubernetes or comparable container orchestration platforms.
• Experience designing observable production systems using logging, metrics, tracing, alerting, and operational monitoring.
• Hands-on experience building applications using large language models, foundation model APIs, or modern AI development frameworks.
• Ability to design APIs, distributed services, asynchronous workflows, and reusable platform components.
• Strong understanding of software architecture, testing, reliability, security, and maintainability.
• Ability to independently navigate ambiguous technical problems, evaluate tradeoffs, and drive solutions from concept through production.
• High agency and demonstrated ability to remain current with rapidly evolving AI technologies and development practices.
• Strong written and verbal communication skills, including the ability to explain technical decisions and tradeoffs to technical and non-technical stakeholders.

While not required, we especially want…