AI Engineer

About the role

Enhance and maintain healthcare platforms, focusing on reliability, performance, security, scalability, and user experience. Design, build, test, and deploy cloud-native SaaS services, APIs, and data workflows. Develop high-volume, low-latency distributed systems supporting a global healthcare platform. Design and integrate AI capabilities, including model integrations, inference services, and evaluation workflows to drive advanced features and health insights. Collaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical data. Partner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device software.

Responsibilities

• Enhance and maintain healthcare platforms
• Design, build, test, and deploy cloud-native SaaS services, APIs, and data workflows
• Develop high-volume, low-latency distributed systems supporting a global healthcare platform
• Design and integrate AI capabilities, including model integrations, inference services, and evaluation workflows
• Collaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical data
• Partner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device software

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of relevant experience, or a Master’s degree with 6+ years of experience
• Hands-on experience with applied AI/ML concepts, including model integration, inference workflows, evaluation, feature engineering, prompt/model orchestration, or intelligent automation
• Strong backend engineering experience, including APIs, concurrency, testing, and maintainable system design
• Experience designing and contributing to scalable, highly available, and observable system architectures
• Experience building and maintaining distributed systems, including asynchronous processing, messaging, and backend data workflows

Qualifications

• Hands-on experience with applied AI/ML concepts, including model integration, inference workflows, evaluation, feature engineering, prompt/model orchestration, or intelligent automation
• Strong backend engineering experience, including APIs, concurrency, testing, and maintainable system design
• Experience designing and contributing to scalable, highly available, and observable system architectures
• Experience building and maintaining distributed systems, including asynchronous processing, messaging, and backend data workflows

Skills

• Applied AI/ML concepts
• Backend engineering
• Distributed systems
• Scalable architecture

Benefits

• Career development with an international company
• Free medical coverage in our Health Investment Plan (HIP) PPO medical plan
• Excellent retirement savings plan with high employer contribution
• Tuition reimbursement
• The Freedom 2 Save student debt program
• FreeU education benefit

Pay

Details TBD

Schedule

Details TBD