Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences
Job Summary
Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences.
Partner with data scientists, product managers, and domain experts to frame problems, test hypotheses, and iterate quickly from prototype to production.
You will work with advanced platforms, real-world data, and ambitious collaborators to deliver AI capabilities that tangibly speed research, sharpen decision-making, and expand access for patients.
Matching Summary
Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences.
Skills & Requirements
Must-have
Full Stack Delivery of AI Products
Machine Learning Pipelines
Generative AI Integration
Scalable Systems Design
Engineering Excellence Practices
DevOps practices and tools
Microservices architectures and containerization
Nice-to-have
Enterprise-level integrations
Data engineering projects
Data visualization tools
Key Requirements
Bachelor’s or Master’s degree
Proven Full Stack Developer experience
Python, JavaScript, or Node.js proficiency
Frontend frameworks experience
Backend technologies experience
Machine learning frameworks expertise
Generative AI models and techniques experience
Cloud platforms experience
Database and data warehousing solutions knowledge
DevOps practices and tools experience
Microservices architectures and containerization tools knowledge