At a Glance
- Tasks: Design and develop AI-driven prototypes to automate workflows and enhance customer experiences.
- Company: Join Cloudflare, a tech company with a mission to build a better Internet.
- Benefits: Gain hands-on experience, mentorship, and work in a dynamic environment.
- Other info: Full-time, 12-week internship in London with excellent career growth opportunities.
- Why this job: Make a real impact by contributing to innovative AI projects for global customers.
- Qualifications: Pursuing a degree in Computer Science or related field; AI application experience preferred.
The predicted salary is between 80000 - 98000 £ per year.
About the Department
The Global Customer Services (GCS) team is the heartbeat of Cloudflare’s post-sales ecosystem. Our mission is to empower customers globally through proactive guidance and expert services to accelerate their time to value and business outcomes. We are responsible for driving product adoption, architecting complex deployments, and ensuring our customers obtain maximum value from the Cloudflare platform.
About the Role
The AI Builder 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.
Responsibilities
- Design, develop, and deploy AI-driven prototypes (using LLMs, RAG architectures, or predictive modeling) 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, hallucination-free 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.
- Create collateral to enable the team.
- 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.
Skills & Qualifications
- 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.
- Experience building AI Agents and/or other applications leveraging AI.
- 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.
- Bonus points: Experience in a customer facing role.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
