AI Engineer - REMOTE - 26892

Blue Chip Talent; Michigan; On-site; USD 90,000 - 130,000; Full time

Job summary

Blue Chip Talent is seeking an AI Development Tools Specialist to configure, integrate, and support AI-powered development tools within our enterprise environment.

Ideal candidates will have hands-on experience with Docker, Azure DevOps, Linux, and developer tooling. You will enable secure, reliable AI-assisted coding workflows and collaborate with multiple engineering teams to drive adoption.

Qualifications

• Experience administering Linux systems and scripting for automation.
• Ability to troubleshoot complex tool integrations and configurations.
• Ability to work independently to configure, test, and document environments.
• Familiarity with AI-assisted development tools like Claude Code, Copilot, or Codex.

Responsibilities

• Configure and support AI-powered development tools (Claude Code, Copilot, Codex).
• Implement and maintain tool configurations, permissions, and environment settings.
• Integrate tools with Docker, Azure DevOps repos, and CI/CD pipelines.
• Configure MCP servers, integrations, and AI workflows.
• Work with Linux, scripting, Git, JSON, and YAML configurations.
• Test configurations, troubleshoot issues, and improve workflows.
• Document configurations and best practices.
• Collaborate with teams to drive adoption of AI-assisted coding tech.

Skills

Linux administration

Scripting

Troubleshooting

Independent work

Tools

Docker

Azure DevOps

Git

JSON

YAML

Job description

Must be in EST or CST Time Zone's - Ideally in Michigan.

Blue Chip Talent is hiring an AI Development Tools Specialist to support the configuration, integration, and implementation of AI-powered software development tools within an enterprise environment.

This position is ideal for a technically skilled professional with experience in AI-assisted development platforms, Docker, Azure DevOps, Linux, and developer tooling. The role focuses on enabling secure, reliable AI-assisted development workflows rather than traditional cybersecurity operations.

Key Responsibilities

• Configure, integrate, and support AI-powered development tools, including Claude Code, GitHub Copilot, and OpenAI Codex.
• Implement and maintain tool configurations, permissions, execution restrictions, and environment settings.
• Integrate AI development tools with Docker containers, Azure DevOps repositories, and CI/CD pipelines.
• Configure and troubleshoot Model Context Protocol (MCP) servers, integrations, and AI development workflows.
• Work with Linux environments, scripting, Git, JSON, and YAML configurations.
• Test configurations, troubleshoot technical issues, and identify opportunities to improve development workflows.
• Document configurations, technical processes, and best practices.
• Collaborate with development teams to support adoption and effective use of AI-assisted coding technologies.

Required Qualifications

• Hands-on experience with Docker configuration and containerized development environments.
• Experience with Azure DevOps repositories, permissions, and pipelines.
• Strong Linux administration and scripting skills.
• Experience with Git, JSON, and YAML.
• Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or OpenAI Codex.
• Strong technical troubleshooting and problem-solving abilities.
• Ability to independently configure, test, and document development environments.

Preferred Qualifications

• Experience implementing or supporting AI-assisted software development workflows.
• Familiarity with Model Context Protocol (MCP), AI agent tooling, and reusable AI Skills.
• Experience configuring enterprise controls for AI development environments.
• Understanding of container isolation, credential management, and development environment permissions.
• Experience supporting development teams with emerging AI technologies.

Ideal Candidate

We're looking for a hands-on technical professional who understands modern software development environments and enjoys working with emerging AI technologies. The ideal candidate is comfortable configuring developer tools, troubleshooting integrations, and helping engineering teams effectively adopt AI-assisted coding platforms.