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. We’re on a mission to redefine the creator economy by empowering creators to connect, share, and earn more efficiently.
🎯 The Role
We’re hiring an AI Developer Tooling Engineer to own and evolve the internal AI tools that power how Fanvue builds software. This role exists to significantly raise engineering productivity, reduce friction in development workflows, and help Fanvue become an AI-native engineering organisation.
You’ll focus on discovering, testing, and embedding the best AI tools and workflows into our day-to-day development process, enabling every engineer at Fanvue to ship faster and with higher confidence.
🚀 What You’ll Do
Build and maintain AI-first developer tools that streamline local and cloud development
Experiment with emerging AI coding agents and workflows, rolling out the most impactful solutions across engineering
Operate, scale, and evolve MCP servers and related infrastructure to optimise development speed and reliability
Define and document best practices for prompting, tooling, and AI-assisted development
Create and maintain an AI-ready knowledge base that works effectively for both engineers and LLMs
Measure and demonstrate improvements in developer efficiency, speed, and quality through AI-driven solutions
Define Fanvue’s AI developer tool stack and drive adoption across the engineering organisation
Partner closely with engineers to understand problems and match them to effective AI solutions
👀 Who You Are
A strong software engineer with production experience using TypeScript
Hands-on with modern AI coding agents such as Cursor and Claude Code
Familiar with tools like CodeRabbit and comfortable evaluating new developer tooling
Experienced operating or integrating services such as Context 7, Puppeteer, MCP Compass, or similar systems
Confident working across Next.js, Express, and modern frontend and backend tooling
Deep understanding of LLM fundamentals including RAG pipelines, embeddings, fine-tuning, tokenization, and performance trade-offs
Strong Git and GitHub workflow knowledge including PR reviews, CI/CD, and trunk-based development
Security-conscious, with good practices around secrets management and local or containerised development environments
Comfortable working with AWS in production environments
Nice-to-haves
Built and shipped AI-powered projects
Experience with n8n
Exposure to additional coding agents such as Aider, Cline, or GitHub Copilot
Familiarity with AWS CDK
✨ You’ll Thrive Here If
You take ownership and move quickly without needing close direction
You’re energised by experimentation and autonomy
You enjoy testing new AI tools and turning them into practical, repeatable workflows
You like enabling others and multiplying impact across a team
You’re comfortable defending ideas and adapting when data points you elsewhere
⚠️ You’ll Struggle Here If
You need constant direction or close management
You’re uncomfortable operating in ambiguity
You avoid experimentation or rapid iteration
🌍 Why Join Fanvue?
Help shape how AI is embedded into a modern engineering organisation
Work with a talented, mission-driven team dedicated to empowering creators worldwide
Competitive salary and benefits package
A culture that values innovation, excellence, ownership, transparency, and speed
Unlimited holiday
Remote working
Flexible hours, according to when you perform best
Budget for growth and wellbeing
⭐ Fanvue is for Everyone
We know that diverse teams build better products. Even if you do not meet every single requirement, we encourage you to apply. Many great people grow into parts of a role, and we value potential just as much as experience.
