AI Adoption Intern

We are looking for a motivated AI Adoption Intern to join our Engineering team. In this role, you will work at the intersection of engineering, AI tooling, and internal process improvement. You will help teams structure their AI initiatives, validate automation ideas, improve cross-team visibility of AI solutions, optimize internal workflows, analyze requirements, and ensure the smooth operation of key business processes.

CloudLinux is a leading provider of Linux-based operating systems and security solutions for web hosting providers. Our products, including CloudLinux OS, KernelCare, and Imunify360, are used by thousands of companies worldwide.

In this role, you will have the opportunity to:

Map AI initiatives across engineering teams - identify what tools are used, who owns them, and how components are connected

Conduct structured technical discovery - talk to engineers, extract key information, and turn it into clear diagrams or concise documentation

Identify inefficiencies and automation opportunities in internal workflows

Write and maintain product requirements, user stories, acceptance criteria, and use-case scenarios

Prototype lightweight internal tools or scripts to validate ideas before full-scale development

Explore and test AI tools (LLMs, agents, integrations) and document practical findings

Maintain and improve centralized GitLab repositories with shared AI assets (for example MCP servers and internal AI utilities)

Help improve internal AI adoption standards and cross-team transparency

Participate in planning sessions, standups, grooming meetings, retrospectives, and design reviews

Collect user and stakeholder feedback to refine product usability and discoverability

Prepare structured summaries and insights from raw data

What we’re looking for

Technical background or technical education (Computer Science, Engineering, or similar)

Ability to create clear, structured requirements

Ability to independently build small working prototypes (scripts, lightweight internal tools, automation experiments)

Basic Python skills for scripting, automation, and rapid prototyping

Practical experience using LLMs or AI tools in real tasks - not just casual prompting

Experience in building or overseeing a project

Experience working with Git and navigating repositories (GitHub or GitLab)

Ability to read and understand technical documentation and system architecture at a high level

Strong communication skills - ability to extract complex technical information and present it clearly and concisely

Proactive mindset - ability to identify gaps, suggest improvements, and move ideas forward with limited supervision

Strong analytical thinking and attention to detail

Comfortable working across teams and asking clarifying questions

English proficiency at B2 level or above

Nice to have

Experience experimenting with AI agents, integrations, or MCP

Experience building Python-based prototypes or automation tools

Public GitHub projects demonstrating experimentation or prototyping

Familiarity with Jira, Confluence, Notion, Slite, or similar tools.

What's in it for you?

A focus on professional development.

Interesting and challenging projects.

Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.

Paid vacation, 10 days of national holidays, and unlimited sick leaves.

Compensation for private medical insurance.

Co-working and gym/sports reimbursement.

Budget for education.

The opportunity to receive a reward for the most innovative idea that the company can patent.

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