AI Developer Tooling Engineer

Job not on LinkedIn

August 8

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Logo of fanvue

fanvue

B2C • eCommerce • Social Impact

fanvue is a subscription social platform that empowers creators to share, earn, and connect with their fans. It combines AI features, such as messaging and analytics, to enhance the user experience while offering a paywall for exclusive content. The platform caters to a diverse range of creators, including influencers, artists, and athletes, allowing them to monetize their work and build communities with their followers.

51 - 200 employees

Founded 2021

👥 B2C

🛍️ eCommerce

🌍 Social Impact

📋 Description

• Join us in redefining the creator economy with AI • Fanvue is the fastest-growing creator monetisation platform in the creator economy. • We are the leading AI-powered creator-first platform. • We’re on a mission to redefine the creator economy. • 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. • Design & build AI dev tooling – Create and maintain AI-centric developer tools, scripts, and workflows. • Integrate intelligent coding agents – Help other teammates leverage Cursor and/or Claude Code. • Operate MCP servers – Support the team in integrating Context 7, Puppeteer, MCP Compass and other MCP servers. • Establish prompting best practices – Craft, document, and evangelise effective prompt patterns. • Author AI-ready documentation – Structure Markdown knowledge bases for LLMs.

🎯 Requirements

• 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. • Nice-to-haves: • 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).

🏖️ Benefits

• Named one of The Sunday Times Best Places to Work 2025 • Competitive salary, equity, 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

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