Currently tracking 2 active AI roles, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cloudflare currently has 5 active AI-related job listings. The majority of these roles, 80%, are focused on agents, with 20% related to serving infrastructure. All 5 positions are within Engineering. The company is hiring in the United States and Singapore. Frequent technology tags include agent orchestration, RAG, and LLM observability. In the last 30 days, Cloudflare posted 3 new AI roles, representing a 40% decrease compared to the previous 30-day period.
Cloudflare currently has 2 active AI-related roles in our index. The most common open titles are: GTM Engineer, Technical Support Engineer Intern (July to December 2026). Most positions are in Engineering.
Cloudflare's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cloudflare is hiring AI talent in: United States (1 role), United Kingdom (1 role), Singapore (1 role), Portugal (1 role).
Job postings at Cloudflare most frequently reference: agent orchestration, tool use, llm observability, rag, vector db.
In the past 30 days, Cloudflare has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer Intern (Summer 2026) Machine Learning Engineer Intern to join the Data Intelligence & Analytics team. The role involves building and operating pipelines for AI-driven applications, Agents, and Chatbots. Responsibilities include deploying and monitoring ML applications on Kubernetes, understanding MLOps, and partnering with data scientists and engineers to deliver ML solutions. The intern will leverage Cloudflare products for AI/ML initiatives and use software engineering best practices to publish model scores and insights. | ServeAgent | 7 |
| Data Science Intern (Summer 2026) Internship role focused on developing and deploying predictive models, preparing data for LLMs, testing generative AI frameworks like agents and RAG, and evaluating LLM performance within an enterprise AI context. | Agent |
| 7 |
| Senior Threat Intelligence Engineer This role involves applying machine learning and threat intelligence to build automated defenses against cyber threats. The engineer will be responsible for the full ML lifecycle, from data ingestion to inference, and integrating various security tools to streamline operations and reduce detection/response times. | Serve | 7 |