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cBEYONData a subsidiary of SMX

Cleared Hybrid Full Stack AI Developer

Department
Engineering
Job Type / Location
Hanover
Experience Required
5+ years
Posted On

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.

Essential Duties & Responsibilities

  • 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 DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management.

Required Skills & Experience

  • 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 DevSecOps 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.

Desired Skills & Experience

  • 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.

View Assessment Process

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