AI Builder Intern – Global Customer Engineering, Service Sales (Fall 2026)

We are seeking an AI Builder Intern to support the Global Customer Services team at Cloudflare. As an intern, you will assist with foundational developer platform tasks and contribute to projects that enable customers to successfully build and deploy on Cloudflare.

Responsibilities:

• Design, develop, and deploy AI-driven prototypes to automate manual workflows within the GCS ecosystem.
• Build out models to help automate future forecasting and resource planning.
• Work with APIs to integrate AI capabilities into our existing tech stack to provide real-time solutions.
• Partner with our engineering to identify, clean, and structure high-volume post-sales data for model training and fine-tuning.
• Refine and optimize system prompts and model parameters to ensure high-quality outputs for internal advisory tools.
• Act as the technical translator, taking high-level optimization ideas from GCS leadership and turning them into technical requirements and minimum viable products (MVPs).
• Contribute to internal knowledge bases and documentation to improve team efficiency and consistency.
• Partner with GCS to join select customer-facing sessions, capturing 'voice of the customer' insights to ensure our AI roadmap directly addresses the challenges our customers face.

Requirements:

• Available for a full-time, 12-week internship, working from our London office 3-5 days a week during the fall (Sept-Dec).
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Business or a related technical field.
• Basic experience with programming or scripting (e.g., JavaScript, Python, or similar).
• Experience building AI Agents and/or other applications leveraging AI.
• Experience connecting disparate systems via REST APIs.
• Familiarity with web development concepts, APIs, RAG, Git or developer platforms.
• Strong problem-solving and analytical skills.
• Ability to learn quickly in a fast-paced technical environment.
• Strong communication and collaboration skills to explain complex technical AI concepts to non-technical stakeholders.