Note: The job is a remote job and is open to candidates in USA. GE HealthCare is accelerating its transformation through strategic AI initiatives. As a Staff AI Application Engineer, you will develop AI-powered applications and collaborate with cross-functional teams to deliver scalable solutions that drive business impact.
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.
• Translate data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications or services with intuitive user interfaces and reliable back-end infrastructure.
• 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.
• Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources.
• Integrate cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments.
• Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact.
• Optimize application performance, infrastructure efficiency, and LLM utilization.
• Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability.
Skills
• Master’s or PhD degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field.
• 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).
• Proven track record implementing end-to-end AI systems, integrating ML/LLM models into scalable microservices or enterprise applications.
• Strong experience in ML/GenAI frameworks (TensorFlow, PyTorch, LangChain, AutoGen, Semantic Kernel) and cloud-native AI platforms (AWS Bedrock, Azure OpenAI).
• Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools (Docker).
• Deep experience with Docker, Kubernetes, and CI/CD automation for AI workloads.
• Demonstrated experience with RAG pipelines, vector databases, and document retrieval frameworks.
• Solid understanding of LLMOps / GenAIOps integration patterns, model evaluation, and prompt optimization workflows.
• Strong collaboration skills and the ability to communicate effectively within cross-functional teams.
• Ability to mentor junior engineers, perform code reviews, and contribute to architectural decisions.
• Strong problem-solving, debugging, and analytical skills, with clear and persuasive communication to technical and business audiences.
Company Overview
• GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric. It was founded in 1892, and is headquartered in Chicago, Illinois, USA, with a workforce of 10001+ employees. Its website is http://www.gehealthcare.com.
Company H1B Sponsorship
• GE HealthCare has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2023, 1 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.
