Job Description

Planet DDS is a leading provider of a platform of cloud-based solutions that empowers growth-minded dental businesses. Now serving over 13,000 practices and 118,000 customers in North America, Planet DDS delivers a comprehensive suite of solutions, including Denticon Practice Management, Cloud 9 Ortho Practice Management, and Apteryx Cloud Imaging. Planet DDS is dedicated to enabling dental support organizations (DSOs) and groups to grow and thrive with technology that delivers seamless integrations, improved workflows, and future-proof scalability.



We are seeking an

AI Software Engineer II

. In this role, you will be responsible for designing, developing, and deploying robust AI and machine learning solutions that drive product innovation and intelligent automation. You will collaborate cross-functionally to bring cutting-edge technologies to life in scalable production systems.


This is a hybrid role with 1-2 days in the Glasgow office.

JOB DUTIES

Build scalable solutions that integrate AI capabilities into our products and services Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code Support end-to-end development of AI systems, including data ingestion, model training, evaluation, and deployment Implement best practices in model versioning, monitoring, and continuous improvement Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools Stay current on advancements in AI, ML, and deep learning and assess their applicability to business needs Ensure AI solutions are ethical, interpretable, and aligned with regulatory requirements

Skills and Qualifications:

2-4 years of professional software engineering experience, including at least 4 years in AI/ML-focused roles Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field Experience working in a SaaS or enterprise software environment Publications or contributions to open-source AI/ML projects * Exposure to reinforcement learning, generative AI (LLMs, diffusion models), or real-time inference systems