AI Fullstack Engineer
Core
Build and enhance application layers that ingest product complaint data, apply AI-generated analysis, and surface mapped insights to align real-world issues with established product risk profiles.
Role type
AI Fullstack Engineer
Builds
Cloud-based backend services, APIs, data integrations, and intuitive user interfaces for quality, safety, and risk teams.
Domain
Enterprise risk management, regulatory compliance, product safety
Deliverable
production ML models | product features
Required skills
Fullstack development, Microsoft Azure (App Services, Functions, APIs, storage, authentication), backend development (.NET, Java, Node.js, Python), API and service-oriented architectures, frontend development (React, Angular), cloud-based product development, AI/ML services integration
Preferred skills
Experience with data-driven platforms
Technologies
Microsoft Azure, .NET, Java, Node.js, Python, React, Angular
Responsibilities
Develop cloud-based backend services and APIs, build intuitive user interfaces for risk teams, integrate AI/ML services with data platforms, establish feedback loops between field data and risk assessments
Seniority
Mid-Senior, hands-on IC
