Position- AI Engineer
Location- Minnetonka, Minnesota (Day1 Onsite)
Key Skills - LLM Experience / RAG / Excellent with Python / Typescript
Cloud Native : AWS / Azure / Google Cloud Platform
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.
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.
