Global Customer Services - AI Builder Intern (Summer 2026)

Cloudflare • San Francisco, CA

17h

About The Position

The AI Builder Platform Intern will support the Global Customer Services team by assisting with foundational developer platform tasks and contributing to projects that enable customers to successfully build and deploy on Cloudflare. This role provides hands-on exposure to Cloudflare’s developer ecosystem while working alongside consultants and engineers who deliver technical solutions to customers. Through this role, you will gain hands-on experience working with Cloudflare’s developer platform and edge services, exposure to how Professional Services and Customer Success teams deliver technical solutions for global customers, mentorship from experienced consultants and engineers, and real-world experience contributing to projects that support customer adoption of Cloudflare technologies.

Requirements

• 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

Nice To Haves

• Experience in a customer facing role
• Experience deploying applications leveraging Cloudflare Workers AI.

Responsibilities

• Build & Prototype: Design, develop, and deploy AI-driven prototypes (using LLMs, RAG architectures, or predictive modeling) to automate manual workflows within the GCS ecosystem.
• Tooling Integration: Work with APIs to integrate AI capabilities into our existing tech stack to provide real-time "Next Best Action" recommendations for our Customer Success teams.
• Data Wrangling: Partner with our engineering to identify, clean, and structure high-volume post-sales data for model training and fine-tuning.
• Prompt Engineering & Optimization: Refine and optimize system prompts and model parameters to ensure high-quality, hallucination-free outputs for internal advisory tools.
• Collaboration: 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. Create collateral to enable the team.
• Customer engagement: 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.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees