Staff AI Application Engineer

About the job

GE HealthCare is accelerating its transformation through a series of strategic 'AI Big Bets' in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. As the Staff AI Application Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. Core Responsibilities • Design and develop AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools. • Own the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing. • Frontend: Develop modern, intuitive interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with a strong focus on usability, accessibility, and AI explainability. • Backend: Implement scalable and secure back-end services (FastAPI, Flask, or Node.js) to expose AI capabilities (LLMs, RAG pipelines, AI agents) through standardized APIs. • Collaborate with insight leaders and business stakeholders on requirements gathering, project documentation, and development planning. • Partners with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines. Experience Requirements • Education: Master’s or PhD degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field. • Experience: 3–5 years of hands-on experience developing and deploying AI-powered or data-driven applications in enterprise environments. • Advanced proficiency in Python, plus strong working knowledge of TypeScript/JavaScript and at least one modern web framework (React, Next.js, FastAPI, Flask).

Requirements

• Python
• TypeScript
• JavaScript
• React
• Next.js
• FastAPI
• Flask
• Machine Learning
• AI
• MLOps

Qualifications

• Master's degree
• PhD degree

Preferred Technologies

• Python
• TypeScript
• JavaScript
• React
• Next.js
• FastAPI
• Flask
• Machine Learning
• AI
• MLOps

About the company

GE HealthCare is accelerating its transformation through a series of strategic 'AI Big Bets' in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale.