Cleared Hybrid Full Stack AI Developer

About the Role

cBEYONData, a subsidiary of SMX, is seeking a Full Stack AI Developer to design, develop, and maintain scalable AI-enabled web applications and cloud-native solutions leveraging AWS technologies. The ideal candidate is a strong systems thinker with experience across front-end development, backend services, cloud infrastructure, and emerging AI technologies. This role will support the development of modern AI-powered applications, integrations, and automation capabilities while ensuring scalability, security, and operational efficiency in a high-tempo environment.

This role is hybrid supporting a Hanover, MD program.

• Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures.
• Build and maintain user interfaces using React and related front-end technologies.
• Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
  .
• Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications.
• Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities.
• Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design.
• Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems.
• Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions.
• Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM
  , security guardrails, and related controls.
• Support Dev Sec Ops activities including CI/CD pipelines
  , infrastructure automation, and cloud cost management.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
• Minimum 5 years of professional experience in full-stack software development.
• Demonstrated experience developing modern web applications using:
  • React or similar front-end frameworks.
  • Python and/or Node.js backend technologies.
• Experience developing and deploying cloud-native applications in AWS environments
  .
• Demonstrated experience supporting at least one production-grade AI or machine learning implementation.
• Experience integrating APIs
  , asynchronous processing, and scalable backend services.
• Understanding of software security principles and secure cloud architecture practices.
• Experience with Dev Sec Ops concepts and modern software delivery practices.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent written and verbal communication skills.
• Secret clearance
  .
• CompTIA Security+ certification required.

• Experience with Amazon Bedrock or other enterprise generative AI platforms.
• Experience implementing RAG architectures
  , AI agents, or orchestration frameworks.
• Familiarity with vector databases
  , embeddings, and AI evaluation techniques.
• Experience optimizing AI model usage for performance and cost efficiency.
• Familiarity with containerization and orchestration technologies
  .
• Experience supporting federal or DoD environments.