Senior AI Application Engineer, Enterprise AI

4 days ago

Apply Now

Receive Emails with Similar Jobs

GE HealthCare

WebsiteLinkedInAll Job Openings

Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

10,000+ employees

Founded 1892

💊 Pharmaceuticals

📋 Description

• 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 • Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources • Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact • Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability.

🎯 Requirements

• 1–3 years of hands-on experience developing and deploying AI-powered or data-driven applications in production environments • Strong proficiency in Python • Working knowledge of TypeScript/JavaScript for front-end or back-end integrations • Practical experience with ML and GenAI frameworks such as TensorFlow, PyTorch, or Hugging Face • Basic familiarity with LangChain, OpenAI API, or similar LLM toolkits • Experience developing RESTful APIs for AI or analytics services • Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools (Docker) • Understanding of fundamental software engineering practices — CI/CD, testing, version control (Git), code reviews, and agile methodologies • Strong collaboration skills and the ability to communicate effectively within cross-functional teams • Basic understanding of prompt engineering and model evaluation techniques • 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.

🏖️ Benefits

• Health insurance • Relocation Assistance Provided