AI Engineer (Platform Engineering Background)

Role Overview

We are looking for a hands-on AI Tools Support Engineer with a strong Platform Engineering/DevOps background to support the setup, configuration, integration, administration, and adoption of modern AI-assisted development tools.

This is a short-term, high-impact engagement focused on enabling engineering teams to effectively use AI-powered coding and security platforms.

The ideal candidate will have experience working with developer platforms, cloud environments, CI/CD pipelines, GitHub ecosystem tools, and AI-assisted software development solutions.

Key Responsibilities

• Configure, deploy, and support AI developer productivity tools such as: Cursor Claude Code OpenAI Codex / CodeX
• Manage onboarding, access provisioning, licensing, and user administration for AI tools.
• Integrate AI tools with development environments, source control systems, and enterprise platforms.
• Collaborate with Platform Engineering, Security, and Development teams to ensure smooth adoption.
• Troubleshoot tool-related issues and provide L1/L2 technical support.
• Create and maintain technical documentation, setup guides, SOPs, and knowledge base articles.
• Assist in defining governance, security controls, and best practices for AI tool usage.
• Support CI/CD and DevOps integrations involving AI-enabled development workflows.
• Conduct user enablement sessions, demonstrations, and training for engineering teams.
• Monitor usage, collect feedback, and recommend improvements to maximize productivity.

Required Skills & Experience

• 6+ years of experience in Platform Engineering, DevOps, Developer Platforms, or Infrastructure Engineering.
• Hands-on experience with one or more of the following: Cursor Claude Code OpenAI Codex / AI-assisted coding platforms.
• Strong understanding of: Git and GitHub Enterprise CI/CD pipelines Software Development Lifecycle (SDLC) Platform Engineering concepts.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of scripting/automation using Python, Bash, or PowerShell.
• Familiarity with identity management, access controls, and enterprise tool integration.
• Strong troubleshooting and documentation skills.

Preferred Qualifications

• Experience supporting developer productivity platforms at scale.
• Exposure to security and compliance requirements related to AI tools.
• Understanding of prompt engineering and AI-assisted software development workflows.
• Experience working with enterprise engineering organizations.