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- Tasks: Design and build AI tools to enhance developer productivity and streamline workflows.
- Company: Join Fanvue, the leading AI-powered platform for creator monetisation.
- Benefits: Enjoy unlimited holiday, remote work, flexible hours, and a competitive salary.
- Why this job: Be part of a mission-driven team that values innovation and empowers creators globally.
- Qualifications: Software engineering background with TypeScript and hands-on AI coding agent experience required.
- Other info: Opportunity to work with cutting-edge AI technologies and contribute to impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
Fanvue is the fastest-growing creator monetisation platform in the creator economy. We are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience. Our platform supports creators with the tools they need to connect and monetise their audience in a scalable way.
We’re looking for an AI Developer Tooling Engineer focused on AI workflows that empower the development team and beyond. You will own and evolve the suite of internal AI development tools that power Fanvue, working closely with the engineering team to raise developer productivity and ship features faster.
What You'll Do:
- Design & build AI dev tooling – Create and maintain AI-centric developer tools, scripts, and workflows that streamline local and cloud development across the company.
- Integrate intelligent coding agents – Help other teammates leverage Cursor and/or Claude Code to accelerate day-to-day development; benchmark Aider, Cline, and GitHub Copilot whenever new features come out to see where they can add value.
- Operate MCP servers – Support the team in integrating Context 7, Puppeteer, MCP Compass and other MCP servers to optimise prompt routing and execution. Proactively assess emerging MCP servers and roll them out across the engineering organisation.
- Establish prompting best practices – Craft, document, and evangelise effective prompt patterns for a broad spectrum of engineering and product tasks.
- Author AI-ready documentation – Structure Markdown knowledge bases so that LLMs can ingest and answer questions on them reliably.
Who You Are:
- Must-haves
- Software engineering background with TypeScript in production environments.
- Hands-on expertise with AI coding agents: Cursor and Claude Code.
- Familiarity with AI dev tools such as CodeRabbit.
- Proven administration of Context 7, Puppeteer, and MCP Compass (or comparable) servers.
- Practical knowledge of Next.js and modern front-end tooling.
- Practical knowledge of Express.
- Deep understanding of core LLM concepts such as RAG pipelines, vector embeddings, fine-tuning methodologies, tokenization, and latency/throughput trade-offs.
- An understanding of the LLM model landscape and the strengths and weaknesses of the major models.
- Strong Git/GitHub workflow knowledge (PR review, CI/CD, trunk-based development).
- Demonstrable prompting mastery across diverse technical and creative domains.
- Solid grasp of secure coding practices: secrets management, least-privilege principles.
- Comfortable with local development environments – from installing dependencies and running local web servers to profiling performance and managing containerised stacks.
- Experience building a project with AI using some of the skills outlined above.
- Experience with n8n.
- Experience with additional AI agents (Aider, Cline, GitHub Copilot).
Why Join Fanvue?
- Competitive salary and benefits package
- Work with a talented, mission-driven team dedicated to empowering creators worldwide
- A culture that values innovation, ownership, transparency, and speed
- Unlimited holiday
- Remote working
- Flexible hours, according to the times you perform best
- Budget for growth and wellbeing
AI Developer Tooling Engineer employer: fanvue
Contact Detail:
fanvue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer Tooling Engineer
✨Tip Number 1
Familiarise yourself with the specific AI tools mentioned in the job description, such as Cursor and Claude Code. Understanding how these tools work and their applications will not only help you during interviews but also demonstrate your proactive approach to learning.
✨Tip Number 2
Engage with the developer community around AI tooling and workflows. Join forums or social media groups where discussions about AI development tools take place. This can provide insights into current trends and challenges, which you can reference in conversations with the team.
✨Tip Number 3
Showcase any personal projects or contributions related to AI development tools on platforms like GitHub. Having a portfolio that highlights your hands-on experience with relevant technologies will make you stand out as a candidate.
✨Tip Number 4
Prepare to discuss your understanding of LLM concepts and secure coding practices during interviews. Being able to articulate your knowledge in these areas will demonstrate your technical expertise and alignment with the company's needs.
We think you need these skills to ace AI Developer Tooling Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering background, particularly with TypeScript and any relevant AI development tools you've used. Emphasise your hands-on experience with AI coding agents like Cursor and Claude Code.
Craft a Strong Cover Letter: In your cover letter, express your passion for the creator economy and how your skills align with Fanvue's mission. Mention specific experiences where you've designed or built AI tooling and how it improved developer productivity.
Showcase Relevant Projects: If you have experience building projects using AI, include them in your application. Describe your role, the technologies used, and the impact of the project. This will demonstrate your practical knowledge and problem-solving abilities.
Highlight Best Practices: Discuss your understanding of prompting best practices and how you've applied them in previous roles. This could include examples of crafting effective prompts for AI tools or documenting workflows that enhance team efficiency.
How to prepare for a job interview at fanvue
✨Showcase Your Technical Skills
Be prepared to discuss your experience with TypeScript and AI coding agents like Cursor and Claude Code. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Tools
Familiarise yourself with Fanvue's internal tools and workflows, especially those related to AI development. Knowing how to integrate intelligent coding agents and operate MCP servers will show that you're ready to hit the ground running.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled challenges in previous roles, particularly in optimising development processes or implementing best practices for AI workflows. This will illustrate your proactive approach and ability to enhance developer productivity.
✨Ask Insightful Questions
During the interview, ask questions about the team’s current projects and the challenges they face. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge of LLM concepts and secure coding practices.
