AI Software 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 hands-on AI Platform Engineer to help build and scale our next-generation AI agents and infrastructure. You’ll work on complex systems that power AI-driven healthcare solutions - for our members, providers and employees, that improve the healthcare experience end-to-end. This role is ideal for hands on builders who thrive on ownership, love solving technical and business problems, and are on the cutting edge of software. Performs other duties as assigned.  Key Accountabilities Assist in designing, implementing and deploying AI pipelines and systems—from evaluation setup and benchmarking to integration with products. Focus on building reliable, observable and safe components Collaborate on prototyping and building production grade AI-powered features and consumer-facing systems. Contribute to solving healthcare and technical challenges by applying modern AI tools and frameworks Participate in architectural discussions and contribute to code reviews. Learn and apply engineering best practices, and support platform development through clean, maintainable code Stay current with AI tends and tools. Explore new approaches and share learnings with the team. Support adoption of promising technologies that enhance platform and enterprise capabilities Assist in designing, implementing and deploying AI pipelines and systems—from evaluation setup and benchmarking to integration with products. Focus on building reliable, observable and safe components Required Qualifications Bachelor's degree or equivalent experience in related field 7 years of work experience beyond degree Preferred Qualifications 3+ years of experience developing production-grade software using Python, Go, or similar backend languages Demonstrated ability to work with public cloud infrastructure (AWS, Azure, or GCP), including provisioning and scaling under guidance or established patterns Hands-on experience deploying infrastructure using Terraform or other declarative IaC tools Familiarity with containerization and orchestration technologies such as Docker, Kubernetes, and Helm Exposure to modern DevOps and observability tooling, including GitHub Actions, Prometheus, Grafana, and OpenTelemetry This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week. The full salary grade for this position is $98,400 - $168,600. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $98,400 - $147,525. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.