At a Glance
- Tasks: Shape the future of AI applications and enhance developer experiences.
- Company: Join Cloudflare, a leader in building a better Internet.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in AI applications and a passion for collaboration.
- Other info: Dynamic team environment with a focus on learning and development.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Systems Engineer, AI Applications Tooling role at Cloudflare.
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.
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.
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.
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.
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’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.
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.
Senior Systems Engineer, AI Applications Tooling in London employer: CloudFlare
Contact Detail:
CloudFlare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Systems Engineer, AI Applications Tooling in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Cloudflare. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate what you can do and how you think. Make it easy for recruiters to see your potential!
✨Tip Number 3
Prepare for those interviews! Research Cloudflare’s AI initiatives and come armed with ideas on how you can contribute. Be ready to discuss your past experiences and how they relate to the role of Senior Systems Engineer.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Cloudflare team. Don’t miss out!
We think you need these skills to ace Senior Systems Engineer, AI Applications Tooling in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how excited you are about shaping Cloudflare's AI strategy and bringing innovative solutions to developers.
Tailor Your Experience: Make sure to highlight your relevant experience in building and optimising AI applications. We’re looking for specific examples that demonstrate your understanding of LLMs, model inference, and AI-powered tools. Tailoring your application can really make you stand out!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your skills and experiences. Avoid jargon unless it’s necessary, and remember, clarity is key!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Cloudflare!
How to prepare for a job interview at CloudFlare
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially LLMs and model inference. Be ready to discuss your experience with AI-powered tools and how they can enhance developer workflows. This will show that you're not just familiar with the tech but also passionate about it.
✨Show Your Collaborative Spirit
Cloudflare values teamwork, so be prepared to share examples of how you've worked with others in past projects. Highlight your communication skills and how you’ve contributed to a positive team environment. This will demonstrate that you’re a great fit for their inclusive culture.
✨Prepare for Technical Questions
Expect some technical questions related to AI observability and debugging challenges. Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios. Practising coding problems or discussing past projects can help you feel more confident.
✨Engage with the Community
Cloudflare appreciates candidates who are active in the AI and developer community. If you’ve contributed to open-source projects or written technical documentation, be sure to mention it. This shows your commitment to learning and sharing knowledge, which aligns with their mission.