GE Healthcare

Software Engineer focused on developing and applying AI-assisted test automation and analysis solutions for patient monitoring systems within a regulated medical device quality environment. The role involves designing RAG models, agent workflows, and multi-step reasoning models, integrating LLMs into applications, and applying AI for root cause analysis and test selection to accelerate verification cycles.

This is an apprenticeship role focused on integrating AI algorithms into a medical robot's software architecture. The role involves designing, implementing, training, evaluating, and integrating ML/DL models for perception, decision support, and control, while adhering to strict medical domain constraints (safety, traceability, real-time, regulatory). The work spans from algorithm development to deployment in a constrained embedded environment.

Senior AI Engineer to lead the architecture and development of AI-powered automations combining LLMs, classical ML, RPA/workflow, and enterprise systems. The role involves designing reference architectures, building secure and performant services, and productionizing solutions, bridging solution architecture with hands-on engineering.