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:
o React or similar front-end frameworks
o 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
Application Deadline: 7-25-2026
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