Summary

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. This position requires a minimum onsite presence of three days per week at our Beloit, WI location.

Job description

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. This position requires a minimum onsite presence of three days per week at our Beloit, WI location.

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.
Ensure alignment with organizational governance, data strategy, and security expectations.

Early Development

After 3 months you will: Participate in process re-engineering efforts, and collaboratively develop AI applications to drive the business forward. After 6 months you will: Lead broader software and AI system redesign efforts, coordinating with IT and other SMEs.

Qualifications

Minimum Education/Experience Requirements: Bachelor's degree in a technical field and minimum three (3) years of experience; or equivalent combination of education and experience. Strong experience building full-stack applications, APIs, and AI-enabled solutions for enterprise business systems.

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.

Requirements

Bachelor's degree in a technical field and minimum three (3) years of experience; or equivalent combination of education and experience
Strong experience building full-stack applications, APIs, and AI-enabled solutions for enterprise business systems
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
Familiarity with Microsoft Office software programs, including Outlook, Word, and Excel

Benefits

Medical, Dental & Vision
Healthcare FSA
Dependent Care FSA
Short-term & Long-term Disability
Life Insurance & AD&D
Pet Insurance
401(k) Matching
Paid Holidays & PTO
Paid Parental Leave
Bonus Plan
Equity Incentive Program
Relocation Benefit

Company overview

NorthStar Medical Radioisotopes, LLC is a commercial-stage nuclear medicine company headquartered in Beloit, Wisconsin, with additional facilities in Madison, Wisconsin. Founded in 2006, the company specializes in developing, producing, and manufacturing reliable and environmentally-friendly diagnostic and therapeutic radiopharmaceuticals. NorthStar's mission is to provide patients global access to game-changing radiopharmaceuticals for cancer detection and treatment. The company is the first and only U.S. company housing commercial-scale radioisotope production and radiopharmaceutical CDMO services co-located on the same campus. NorthStar routinely produces therapeutic radioisotopes including copper-67 (Cu-67) and is poised to be one of the first commercial-scale producers of non-carrier-added actinium-225 (Ac-225) using innovative electron accelerator technology. Their FDA-approved diagnostic imaging product, technetium-99m (Tc-99m), is used in 40,000 patient imaging studies daily in the United States. The company also operates a Radiopharmaceutical Contract Development and Manufacturing Organization (CDMO/CMO) unit that provides customized service offerings and specialized radiopharmaceutical expertise to help biopharmaceutical companies advance their development and commercial programs.