Cleared Hybrid Full Stack AI Developer (5319)

遠鉄システムサービス（株）; Hanover (MD); Hybrid; USD 100,000 - 130,000; Full time

Job summary

遠鉄システムサービス（株） is seeking a Full Stack AI Developer in Hanover, MD. This hybrid role focuses on designing and developing AI-enabled web applications and cloud-native solutions using AWS technologies. The ideal candidate will have at least 5 years of full-stack development experience, including skills in React, Python, and AI implementations.

The position entails significant responsibilities, from developing user interfaces to integrating machine learning services, and applicants should possess a Bachelor's degree in a related field.

Qualifications

• Minimum 5 years of professional experience in full-stack software development.
• Experience developing modern web applications using React or similar front-end frameworks.
• Experience with Python and/or Node.js backend technologies.

Responsibilities

• Design, develop, and maintain scalable full-stack web applications.
• Build and maintain user interfaces using React and related technologies.
• Integrate AI and machine learning services into enterprise applications.

Skills

Full-stack software development

React or similar front-end frameworks

Python and/or Node.js

Cloud-native applications in AWS

AI and machine learning implementation

APIs and asynchronous processing

Software security principles

DevSecOps concepts

Troubleshooting and analytical skills

Excellent communication skills

Education

Bachelor’s degree in Computer Science or related field

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

Equal Opportunity Statement

SMX is an Equal Opportunity employer including disabilities and veterans.