cBEYONData
ClearedHybridFullStackAIDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Cleared Hybrid Full Stack AI Developer at cBEYONData. Skills: Cloud-native solutions, AWS technologies, AI/ML integration. Design scalable AI-enabled web applications. Develop scalable AI-enabled web applications”
Industry & Context.
Troubleshooting; Analytical; Problem-solving
Secret clearance
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Minimum 5 years of professional experience, Demonstrated experience developing modern web applications, React or similar front-end frameworks, Python and/or Node.js backend technologies, Experience developing and deploying cloud-native applications in AWS, Demonstrated experience supporting at least one production-grade AI or machine learning implementation, Experience integrating APIs, Experience with asynchronous processing, Experience with scalable backend services, Understanding of software security principles, Understanding of secure cloud architecture practices, Experience with DevSecOps concepts, Experience with modern software delivery practices, Troubleshooting skills, Analytical skills, Problem-solving skills, Excellent written communication skills, Excellent verbal communication skills, Secret clearance, CompTIA Security+ certification required
Nice to Have
Experience with Amazon Bedrock, Experience with other enterprise generative AI platforms, Experience implementing RAG architectures, Experience implementing AI agents, Experience implementing orchestration frameworks, Familiarity with vector databases, Familiarity with embeddings, Familiarity with AI evaluation techniques, Experience optimizing AI model usage, Familiarity with containerization, Familiarity with orchestration technologies, Experience supporting federal environments, Experience supporting DoD environments
What You'll Do.
Design scalable AI-enabled web applications
Develop scalable AI-enabled web applications
Maintain scalable AI-enabled web applications
Develop cloud-native solutions
Maintain cloud-native solutions
Build user interfaces
Maintain user interfaces
Develop backend services
Develop serverless functions
Integrate AI services
Integrate machine learning services
Integrate large language model platforms
Implement Retrieval-Augmented Generation
Implement agentic AI workflows
Implement AI orchestration capabilities
Optimize AI model prompts
Monitor model performance
Support cost-efficient AI solution design
Support deployment automation
Support troubleshooting
Support operational sustainment of AI-enabled systems
Ensure compliance with cybersecurity requirements
Ensure compliance with cloud governance best practices
Support DevSecOps activities
Support CI/CD pipelines
Support infrastructure automation
Support cloud cost management
How You'll Work.
Team & Collaboration
Collaborate with engineers; Collaborate with product owners; Collaborate with stakeholders
Communication Scope
Written communication; Verbal communication
Process & Methodology
DevSecOps
Full Job Description
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 de
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