AI Platform Engineer

Job Description

About the job

At Orsi Innotech, we combine cutting-edge machine learning with the world of minimally invasive surgery. We develop AI-driven solutions that support smarter training, better decision-making, and a more data-driven healthcare future.

We're looking for an AI Platform Engineer with a strong background in Computer Science and Full Stack Development and interest in AI to help deploy algorithms in reliable, real-world applications with tangible impact in the medical field.

Help us bring medical innovation to life through robust and scalable AI.

Your Role

Your focus will be to lead the technical architecture and backend development of our AI-driven infrastructure. You will:

• Design and implement scalable compute systems spanning cloud and on-prem environments
• Develop core services for data ingestion, orchestration, and analytics
• Support integration of advanced AI pipelines into production environments
• Ensure interoperability between data platforms, APIs, and user-facing applications
• Collaborate across disciplines to align technical solutions with user needs
• Uphold high standards for security, compliance, and system reliability
  
  

• A strong technical background in Computer Science or Engineering
• 5+ years of software development and architectural experience
• Proficiency in Python and C++ (or similar systems-level languages)
• Solid experience with Kubernetes or Docker and containerized services
• Backend development experience across databases, APIs, and services
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Willingness to engage with multimedia or real-time data systems
  
  

• Experience with AI/ML model deployment pipelines
• Background in real-time processing, streaming, or edge computing
• Understanding of healthcare compliance or regulated environments
• Exposure to DevOps/MLOps practices for scalable infrastructure
  
  

• Strong problem-solver with a systems-thinking mindset
• Able to collaborate and communicate effectively across domains
• Quality- and reliability-minded, especially in sensitive applications
• Fluent in English (written and spoken)