Cleared Hybrid Full Stack AI Developer (5490)

About the role

We are 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.

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

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) and 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
• CompTIA Security+ certification required

Skills

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

Benefits

At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

Pay

The proposed salary for this position is $135,100 USD - $227,000 USD.