Data Science​/AI Full Stack Developer

Norfolk, United States | Posted on 10/14/2025

Sandy Mac Evolution LLC is a Veteran-Owned company dedicated to connecting top talent with meaningful opportunities.

This opportunity is open only to individuals who currently hold an active U.S. Department of Defense (DoD) or NATO security clearance at the required level. Engagement will be under a 1099 / Business-to-Business (B2B) contractual arrangement — not a W-2 employment position.
As this is a B2B / 1099 engagement, benefits such as health insurance, paid time off, and retirement plans are not provided. Contractors are responsible for managing their own taxes, insurance, and other business obligations in accordance with federal and state requirements.

A technically versatile software engineer with a degree in computer science or a related field, and proven experience developing full-stack solutions for AI and data science environments. The ideal candidate has experience integrating front-end, back-end, and data layers, ensuring that AI algorithms and analytical models are embedded into scalable and secure applications.

Search Focus:
Full stack developers with experience integrating AI/ML into secure defense applications.

• Design, develop, and maintain secure, scalable, and high-performance front-end and back-end systems to support AI applications, using existing applications as a reference models
• Build and maintain web-based user interfaces(UI) and dashboards for secure interaction with AI capabilities, tailored for classified environments
• Develop and optimise server-side logic, APIs, and services to integrate AI functionalities seamlessly across workflows and systems
• Implement authentication and access control mechanisms to ensure secure and compliant use of systems, aligning with data sovereignty policies
• Design and develop containerised application environments (e.g., Docker) and integrate them with orchestration tools (e.g., Kubernetes) to ensure scalability and high availability
• Collaborate with data engineers and AI engineers to integrate data pipelines, inference mechanisms, and AI model outputs into front-end and back-end systems
• Develop robust error handling, logging, and performance monitoring solutions across the application stack to ensure reliable operation of platforms
• Ensure compliance with security and privacy standards by implementing secure coding practices at all stages of development
• Build automated testing frameworks to validate the stability, security, and performance of full-stack systems
• Improve the scalability and flexibility of architectures by designing modular and reusable components across the stack
• Provide support for the deployment, maintenance, and troubleshooting of systems in classified operational environments
• Participate in the development of Minimum Viable Products (MVPs) and prototypes, assisting in delivering innovative solutions for mission objectives
• Produce and maintain detailed documentation of development workflows, APIs, system architectures, and configurations to ensure knowledge continuity and operational transparency
• Stay current with emerging tools and methods for full-stack development, enabling enhanced functionality and secure deployment
• Support internal training efforts related to full-stack development, secure coding practices, and application management
• Performs additional tasks as required by the Tech Lead or COTR related to the labor category

• Essential Qualifications/
  
  Experience:
• A Bachelor’s degree or higher from a nationally recognized/certified university in Computer Science, Software Engineering, or a related discipline OR at least four years of professional experience in full-stack development within the last six years
• Proven experience in full-stack development roles, including the design, development, and deployment of secure and scalable web applications within the last four years
• Proficiency in server-side programming with languages like Python, Node.js, Java, or .NET for building secure and high-performance back-end systems
• Experience designing and consuming RESTful and Graph
  
  QL APIs, ensuring efficient and secure interaction with components
• Strong understanding of database technologies, including relational databases (e.g., Postgre
  
  SQL, MySQL) and No
  
  SQL options (e.g., Mongo
  
  DB, Dynamo
  
  DB)
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable and resilient full-stack deployments
• Familiarity with secure software development practices and frameworks, including OWASP guidance and security standards for sensitive systems
• Demonstrated ability to implement automated testing frameworks (e.g., Jest, Selenium, or Cypress) to ensure system reliability and security
• Experience working within NATO environments or demonstrated familiarity with NATO processes, workflows, and organizational structures
• Desirable Qualifications/
  
  Experience:
• Experience integrating AI/ML model outputs into web applications, including optimizing model-driven UI/UX elements for…