AI/ML Engineer - Senior (Only local to MN)

Position- AI/ML Engineer - Senior

Location- Minnetonka, Minnesota (Day1 Onsite)

Duration: Long Term Contract

Position Overview:

• We are 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.

Key accountability Desired key actions to successfully achieve key role accountabilities

• End to End AI Platform Development: Design, implement, deploy, and operate AI pipelines and systems. Own evaluation setup, benchmarking, and the integration of components into products. Build reliable, secure, and observable production systems.
• AI Use Case Development: Prototype, build, and productionize AI-powered features. Lead the technical solutioning of healthcare and enterprise challenges using modern AI tools and frameworks.
• Technical Collaboration & Code Quality: Lead architectural discussions, code reviews, and pair programming. Establish engineering best practices and deliver clean, maintainable code.

Required Skills:

• 5+ years of professional software engineering experience, including ownership of production systems.
• Strong software development skills using Python, Go, TypeScript, or comparable backend languages.
• Demonstrated experience designing, building, deploying, and operating cloud-native applications on AWS, Azure, Google Cloud Platform, or comparable platforms.
• Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.
• Strong working knowledge of Docker, containerization, CI/CD, GitHub, 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.