AI Developer Tooling Engineer

Join us in redefining the creator economy with AIFanvue, one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $100M+ in annual recurring revenue with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide.

As Fanvue scales, how we use AI inside engineering is becoming a critical advantage. This role exists to ensure AI meaningfully accelerates developer velocity, feature delivery, and code quality, while being deployed responsibly, safely, and consistently across the codebase.

The Role: We're hiring an AI Developer Tooling Engineer to own how AI is applied across Fanvue's engineering organisation. This is a highly hands-on role focused on making AI a force multiplier for every engineer, not an uncontrolled risk.

What You'll Do:

• Align the Fanvue codebase with modern AI coding tools such as Cursor and Claude.
• Help define, standardise, and roll out Fanvue's AI-assisted development stack across IDEs, PR workflows, and CI.
• Build and operate MCP servers and AI-ready infrastructure to enable reliable, context-aware code generation.
• Enable parallelised development workflows where engineers review and ship AI-generated code confidently.
• Establish best practices for AI-assisted coding, reviews, and refactoring across the team.
• Create and maintain documentation, playbooks, and training to drive adoption and safe usage.
• Track and report measurable improvements in developer productivity such as PR cycle time, throughput, and code quality.
• Continuously evaluate emerging AI developer tools and vendors, with clear success criteria and kill switches.

Who You Are:

• Strong software engineering background with TypeScript in production environments.
• Deep hands-on experience with AI coding tools such as Cursor and Claude Code, with exposure to Aider, Cline, CodeRabbit, or GitHub Copilot.
• Experience running MCP servers and related tooling such as Context 7, Puppeteer, or MCP Compass.
• Comfortable creating, managing, and deploying agent skills across real-world codebases.
• Strong understanding of LLM fundamentals including RAG pipelines, embeddings, tokenisation, fine-tuning, and performance trade-offs.
• Confident working with GitHub workflows, CI/CD pipelines, and secure coding practices.
• Highly autonomous, experimental, and comfortable owning ambiguous problems end to end.
• Able to demonstrate real, measurable impact from applying AI to engineering workflows.

You’ll Thrive Here If:

• You’re excited by making engineers dramatically more effective, not just building tools for their own sake.
• You enjoy experimentation, fast iteration, and turning emerging tech into production-ready systems.
• You think in systems and workflows, not just features.
• You’re comfortable being accountable for outcomes, not just ideas.

You’ll Struggle Here If:

• You prefer narrowly scoped roles with fixed roadmaps.
• You’re uncomfortable making judgment calls around AI safety, quality, and trade-offs.
• You need constant direction or heavy process to operate effectively.

Why Join Fanvue?

• Play a critical role in defining how AI is used responsibly at scale inside engineering.
• Direct impact on developer velocity, feature delivery, and product quality.
• Work closely with senior engineers and leadership across the company.
• Competitive salary and benefits package.
• Unlimited holiday.
• Remote working.
• Flexible hours, according to when you perform best.
• Budget for growth and wellbeing.

Fanvue is for Everyone: We believe diverse teams build better products. Even if you do not meet every single requirement listed, we encourage you to apply. Many great people grow into parts of a role, and we value potential, mindset, and ambition just as much as experience.