[Remote] Senior AI Application Engineer, Enterprise AI

Note: The job is a remote job and is open to candidates in USA. GE HealthCare is accelerating its transformation through strategic AI initiatives. The Senior AI Application Engineer will develop and deliver innovative AI solutions across various business areas, collaborating with cross-functional teams to solve complex challenges. 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 degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field. • 1–3 years of hands-on experience developing and deploying AI-powered or data-driven applications in production environments. • Strong proficiency in Python, with 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). • Exposure to RAG concepts, embeddings, or vector databases (e.g., Pinecone, FAISS). • 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 • Relocation Assistance Provided 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 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. Apply tot his job