Cleared Hybrid Full Stack AI Developer (5490)

遠鉄システムサービス（株）; Hanover (MD); Hybrid; USD 135,000 - 227,000; Full time

Job summary

SMX seeks a Full Stack AI Developer to design, develop, and maintain scalable AI-enabled web applications and cloud-native solutions using AWS. The ideal candidate blends frontend React work with robust Python/Node.js back-end services, cloud infrastructure, and emerging AI technologies in a high-tempo environment.

This hybrid Hanover, MD role requires a Bachelor’s in CS or related field, 5+ years’ experience, experience with Bedrock or similar LLMs, secure-cloud practices, DevSecOps, and a

Qualifications

• Bachelor’s degree required; 5+ years full-stack development experience
• Front-end: React or similar framework; Back-end: Python/Node.js
• Experience deploying cloud-native applications in AWS
• Experience deploying AI/ML implementations
• APIs, asynchronous processing, scalable back-end services
• Security principles and secure cloud architecture practices
• DevSecOps concepts and modern software delivery practices
• Excellent written and verbal communication
• Secret clearance and CompTIA Security+ certification required

Responsibilities

• Design, develop, and maintain scalable full-stack web applications
• Build user interfaces using React and front-end technologies
• Develop backend services, APIs, and serverless functions
• Integrate AI/ML services such as Amazon Bedrock
• Implement RAG, AI workflows, and orchestration
• Optimize AI prompts and model performance
• Support deployment automation and cloud operations
• Collaborate with engineers and stakeholders to deliver secure solutions
• Adhere to cybersecurity and cloud governance practices
• Support DevSecOps activities including CI/CD pipelines

Skills

React

Python/Node.js

AWS

DevSecOps

Cybersecurity

Communication

Security clearance

Education

Bachelor's degree in Computer Science or related field

Tools

Amazon Bedrock

CI/CD

Containerization

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 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

Application Deadline

7-25-2026

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. 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.

The proposed salary for this position is: $135,100—$227,000 USD

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).