AI Systems & Process Engineer

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.

Essential Duties and Responsibilities 

• Participate in and lead business process re-engineering efforts using systems engineering and lean practices, including kaizen, continuous improvement cycles, risk management, process mapping and cross-domain functional architecture design.
• Design, develop, and implement AI-enabled applications and tools based on defined requirements - collaborating heavily with Process Excellence, SME, End User, and IT teams.
• Lead rapid development cycles and guide junior developers and interns in building applications using AI-assisted coding tools.
• Evaluate and implement AI development tools, frameworks, and workflows to improve speed and quality of development.  Manage development standards including version control, testing and deployment approaches, and documentation practices.
• Define system architectures including data models, APIs, front-end/back-end structures, and AI/LLM integrations.  Serve as primary interface to IT for our process re-engineering and solutions-focused team.

Minimum Education/Experience Requirements

Bachelor’s degree in a technical field 6 years experience minimum. Strong experience building full-stack applications, APIs, and AI-enabled solutions for enterprise business systems.

Please note the company cannot provide immigration-related sponsorship (including H-1B status, O-1 status, Optional Practical Training support, etc.) for this position.  Each successful applicant will be required to complete the Form I-9, Employment Eligibility Verification, demonstrating both identity and employment authorization, on or before the first day of employment.  Under federal law, only truthful information may be provided on the Form I-9.

COMPUTER SKILLS

In addition to familiarity with Microsoft Office software programs, including Outlook, Word, and Excel, ability with the following computer skills:
•    Proficiency in Python, JavaScript/TypeScript, and modern development frameworks.  
•    Familiarity with rapid development using AI-assisted coding tools (e.g., Claude, Codex, GitHub Copilot, similar tools).
•    Experience integrating AI/ML models into applications.  
•    Strong debugging, testing, and code optimization skills.  
•    Strong understanding of data models, system integration, and application workflows. 
•    Experience designing and consuming REST APIs.  
•    Familiarity with system integration across enterprise applications (ERP, CRM, data systems, etc.). 
•    Knowledge of API security, authentication (OAuth, tokens), and data flows.  
•    Knowledge of databases (SQL and/or NoSQL).
•    Experience with version control systems (Git-based workflows). 
•    Familiarity with CI/CD pipelines.  
•    Knowledge of cloud platforms (Azure, AWS, or GCP).  Experience deploying and maintaining production applications.  
•    Experience with unit testing, integration testing, and validation practices.   
•    Knowledge of application security principles and best practices.  
•    Understanding of data governance, risk, and compliance considerations.  Experience documenting systems and maintaining development standards