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Full Stack Engineer - AI Developer

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Onsite

Full Stack Engineer - AI Developer

Brayton Global

Full Stack Engineer - AI Developer

Skills

DockerReactTypescriptPHPJavaDevOpsSpring BootDrupalAIKubernetesGDPRSupply ChainCompliance

4 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

18 October 2026

What they need


We are looking for a Senior Full-stack Engineer to develop and maintain enterprise applications, modernise legacy systems, and integrate AI tools into everyday development workflows.

Key Responsibilities

  • Design, develop, and maintain front-end and back-end applications, APIs, and databases.
  • Use AI coding assistants for development, debugging, refactoring, testing, and documentation.
  • Prepare and modernise existing codebases for AI-assisted development, ensuring clear documentation, coding standards, and reliable tests.
  • Set up secure AI development environments and define project instructions to guide AI-generated code.
  • Configure and extend Model Context Protocol (MCP) integrations to connect AI agents with approved tools and enterprise systems.
  • Review AI-generated code for quality, security, performance, and compliance with project requirements.
  • Integrate automated testing and security checks into CI/CD pipelines.
  • Troubleshoot AI development workflows and help teams adopt effective and secure AI practices.

Required Skills and Experience

  • Senior experience in full-stack software development, from architecture and coding to testing and deployment.
  • Strong knowledge of Java / Spring Boot, Drupal / PHP, and TypeScript , with Angular, React, or Vue .
  • Hands-on experience with AI development tools, preferable Kiro and Claude / Claude Code.
  • Experience modernising legacy applications and preparing repositories for AI-assisted development.
  • Good understanding of LLMs, prompt engineering, context management, and AI coding agents .
  • Hands-on experience with MCP clients and servers , including configuration, extension, and secure access.
  • Knowledge of semantic code search, embeddings, and Retrieval-Augmented Generation (RAG) .
  • Experience with enterprise AI platforms or model APIs and their secure configuration.
  • Strong knowledge of Git, REST APIs, databases, authentication, and secure integrations .
  • Experience with Docker, Kubernetes, or Dev Containers .
  • Strong knowledge of CI/CD, DevSecOps, automated testing, and code security checks .
  • Awareness of AI-related security risks, software supply-chain security, data protection.

Assignement details

  • Certifications in cloud development, Generative AI, AI engineering, DevSecOps, cloud security are considered an advantage.
  • Working language: English.
  • Working arrangement: Full-Remote

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