Senior AI Engineer

Medica•Minnetonka, MN

9h•$113,400 - $170,100•Hybrid

About The Position

Medica is seeking a hands-on Senior 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.

Requirements

Bachelor's degree or equivalent experience in related field
3+ years of AI work experience
5+ years of software/platform engineering experience
All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

Nice To Haves

Proven expertise in Java development and related technologies
Experience working in Agile development environments - SAFe (Scaled Agile Framework)
Strong analytical, problem-solving, and communication skills
Experience with content management systems and enterprise search technologies
Proficiency in open-source frameworks such as Angular, React, and Node.js
Experience developing web and mobile applications, including those built with Flutter
API development experience using MuleSoft or Java
Familiarity with cloud platforms such as AWS or Azure, including CI/CD and deployment processes
Healthcare industry experience is desired

Responsibilities

Design, implement and deploy AI pipelines, systems and platforms – from evaluation design and benchmarking through product integration-ensuring performance, reliability and end-to-end safety and transparency.
Prototype, build and operate cutting edge product, and consumer facing AI systems, pushing state-of-the-art to solve our core healthcare and technical challenges.
Contribute to technical decision-making and architectural discussions for AI and data platforms. Upload high engineering standards and share best practices in code review and design discussions.
Stay up to date with the latest research and developments in AI. Evaluate new approaches or tools and drive their adoption when they can advance our capabilities. Help evangelize to the organization accordingly.