AI Developer

Overview Join the best radiopharmaceutical company in the world! If you’re looking to make an impact while building a meaningful career in a specialized, fast-growing field, NorthStar Medical Radioisotopes is the place to do it. NorthStar Medical Radioisotopes is a growing, commercial-stage company focused on advancing patient care by providing therapeutic radioisotopes and novel radiopharmaceuticals to detect and treat cancer. At the forefront of NorthStar’s technological innovation is scientific excellence, using first-in-kind electron accelerator technology and integrated campus capabilities to drive progress in radiopharmaceutical manufacturing. Our work is driven by a meaningful mission—advancing life-saving radiopharmaceutical development and ensuring a reliable supply of critical medical isotopes for patients in need. As a rapidly growing organization operating on the cutting edge of science, we offer exceptional career growth and professional development opportunities, supported by world-class facilities and a competitive benefits package. Position This is a highly collaborative role responsible for designing, developing, testing, and deploying internal AI-enabled software applications and tools that support organizational transformation. This role focuses on architecting, designing, and building scalable, production-ready AI native applications as part of business process re-engineering efforts. The position works closely with Process Excellence teams, End Users, SMEs, IT, and junior developers to rapidly build, validate, and deploy solutions that improve operational efficiency, enable data-driven decision-making, and support scalable growth. Successful candidates will prioritize collaboration, speed, business value and customer impact, balancing concerns around security, scalability, and extensibility. Responsibilities Essential Duties and Responsibilities Design, develop, and implement AI-enabled applications and tools based on defined requirements - collaborating heavily with Process Excellence, SMEs, End Users, and IT teams. Participate in process re-engineering efforts applying systems engineering and lean practices, including kaizen, continuous improvement cycles, risk management, process mapping across domains. Translate process and functional requirements into working software solutions with user-friendly interfaces, and scalable structures. Plan software structure including data models, APIs, front-end/back-end structures, and AI/LLM integrations. Participate in rapid development cycles with other developers in building applications using AI-assisted coding tools. Evaluate and implement AI development tools, frameworks, and workflows to improve speed and quality of development. Develop standards for version control, testing and deployment approaches, and documentation practices. Test, debug, and validate applications for reliability and performance, supporting validation activities as required. …