Cleared Hybrid Full Stack AI Developer (5319)

SMX•Hanover, MD

2d•Hybrid

About The Position

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.

Requirements

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
Demonstrated experience developing modern web applications using: 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

Nice To Haves

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

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