Senior AI Engineer

Senior AI Engineer – Vision Language Models (Chest X-Ray AI) Location:

Eindhoven, Netherlands Work Model:

Hybrid – 3 days/week onsite Contract:

6–12 months

About the Project The ChestIQ programme is focused on accelerating AI innovation in Chest X-Ray (CXR) diagnostics while maintaining the highest standards of safety, clinical evidence, and regulatory credibility. This is a senior, accountable role designed for an expert who can independently lead, make architectural decisions, and deliver high-quality AI solutions in a fast-moving, regulated healthcare environment. Role Overview We are seeking a

Senior AI Engineer (Vision Language Models / Multimodal AI)

with deep expertise in medical imaging AI, particularly in Chest X-Ray (CXR) applications. You will provide senior-level AI leadership across foundation and multimodal models, guiding architecture, evaluation strategy, and end-to-end delivery. You will work autonomously while collaborating closely with EU and India-based engineering teams. Key Responsibilities Lead architectural decisions for CXR-focused foundation and multimodal AI models Design and implement vision–language alignment and radiology report generation solutions Develop and optimize large-scale model training workflows Build and maintain DICOM-based medical imaging data pipelines Define and execute robust evaluation strategies using appropriate clinical and NLP metrics Provide technical thought leadership and proactively identify and escalate risks Collaborate across time zones with distributed development teams Ensure AI solutions meet clinical safety and regulatory expectations Required Experience & Skills 10+ years of experience in AI / Machine Learning / Computer Vision Proven experience in

medical imaging AI , preferably Chest X-Ray (CXR) Hands-on experience with foundation or multimodal models (vision-language models) Strong proficiency in: PyTorch MONAI HuggingFace ecosystem Practical experience working with DICOM data and medical imaging pipelines Experience in AWS and cloud-based development environments Experience with: Vision–language alignment Radiology report generation Evaluation tools/metrics such as BLEU, ROUGE, CheXbert, RadGraph Ability to work independently and take ownership Excellent communication and stakeholder management skills Preferred Qualifications Experience working in regulated healthcare or medical device environments Exposure to clinical validation processes Prior experience in large, distributed AI programmes PhD or strong research background in AI / Medical Imaging