Preferred Location: Lisbon, Portugal Other Locations: Austin, TX | London, UK About the Role
We are building a new team of AI application experts to define and develop our AI solutions, from AI observability to autonomous intelligent agents. As an AI Engineer, you'll help define Cloudflare's AI strategy by working on projects such as LLM-powered code generation, AI observability, and edge-optimized model inference, bringing cutting-edge AI capabilities to our developer platform. You'll collaborate with teams across Cloudflare to build high-performance, scalable AI applications that push the boundaries of what's possible on the web.
About the Department
Our team is part of Cloudflare's Emerging Technology and Incubation (ETI) team where new, bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a successful business, ETI leverages our network to deliver entirely new tools and products to our customers. Our most successful endeavors include the Cloudflare development platform, which is composed of Cloudflare Workers, Durable Objects, R2, D1, and many other developer products.
What you'll do
As a member of the AI Applications team, you'll help shape the future of AI-powered applications on our platform. You'll work across Cloudflare's stack, collaborating with teams to define, build, and optimize AI solutions that enhance developer experience, security, and performance. From AI observability to code generation and autonomous agents, your work will help drive our developer platform AI capabilities forward.
To this end, you will:
- Develop AI-powered tools and integrations that enhance the developer experience, such as AI-assisted code generation and debugging.
- Design and build AI observability solutions to improve model monitoring, explainability, and performance optimization.
- Collaborate with internal teams to integrate AI into Cloudflare's developer platform, ensuring scalability and efficiency.
- Engage with the broader AI and developer community, contributing to open-source projects, technical documentation, and blog posts.
- Work across Cloudflare's ecosystem to identify new AI opportunities, influence technical direction, and drive adoption of AI technologies.
- If applicable to ongoing projects, you may also participate in an on-call rotation to support critical AI-powered services.
About you
We want you to love it here! This role is a good fit for you if you are:
- Excited by the idea of shaping Cloudflare's AI strategy and bringing cutting-edge AI capabilities to developers.
- Experienced in building and optimizing AI applications, with a strong understanding of LLMs, model inference, and AI-powered developer tools.
- Familiar with AI observability, model monitoring, and the challenges of deploying AI in production at scale.
- Passionate about integrating AI into developer workflows.
- Comfortable working across Cloudflare's stack, from backend services to edge computing, with a focus on scalability and efficiency.
- Energized by tackling complex debugging challenges, optimizing AI workloads, and working with large-scale distributed systems.
- Excited to own your work from early discussions to production, and to collaborate with teams across Cloudflare to make AI more accessible and effective.
- Naturally curious and eager to learn new technologies, experiment with AI applications, and share your findings with the community.
- Above all, a collaborator and effective communicator. You want to be part of a team that values support, open dialogue, and high standards while celebrating successes and learning from challenges.
You'll really feel at home if you have:
- Experience building LLM-powered applications, developer tools, or agent frameworks.
- Familiarity with Cloudflare's developer platform, edge computing, or AI inference.
- Experience contributing to open-source LLM or developer tools projects.
- Public speaking or developer advocacy experience in the AI or software engineering space
Top Skills
Cloudflare Seattle, Washington, USA Office
Seattle, WA, United States
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