You will own the AI engineering stack for a rapidly scaling platform, turning scattered experimentation into a force multiplier for a high-calibre team. By building MCP servers, agent-based pipelines, and integrated AI workflows, you will directly accelerate developer velocity and code quality for one of the world's fastest-growing creator ecosystems.
AI Developer Tooling Engineer at $22M Series A creator platform with $100M+ ARR
Join a triple-digit growth creator economy platform as their first AI Developer Tooling Engineer. With a $22M Series A and $100M+ ARR, this high-scale startup is hiring a TypeScript expert to own their internal AI stack. You will build MCP servers and agent-led workflows that act as a force multiplier for an elite engineering team featuring talent from Amazon and TikTok. If you're a power user of Cursor and Claude Code who wants to define the future of AI-assisted development at scale, this is your next career move.
Overview
Role overview
Company
Fanvue
At Fanvue, one of Sunday Times' "Best Place to Work 2025", we empower creators to earn from their fans faster than ever before.
Our incredible team works daily to help creators and independent talent turn passion into profit, and stay in full control. That means:
• Enabling creators to launch, grow and monetise direct-to-fan subscriptions, content and experiences.
• Providing AI tooling built connection and monetisation, so creators spend less time on admin and logistics and more on what matters.
• Building a transparent, creator-first ecosystem where more revenue flows back to the creators themselves.
📩 Interested? Visit fanvue.com or browse open roles, or drop us a message to discuss partnerships, creator launches or platform innovation.
Responsibilities
What you will do
- Define and roll out the company's standardized AI-assisted development stack across IDEs (Cursor/Claude Code), PR workflows, and CI/CD.
- Build and operate custom MCP servers and AI-ready infrastructure to enable context-aware, reliable code generation and agent skills.
- Track and report measurable productivity improvements like PR cycle time and throughput to decide which AI tools to scale or kill.
Candidate profile
Who this is a fit for
- Strong software engineering background with significant experience shipping production TypeScript in AWS environments.
- Expert-level proficiency with AI coding tools like Cursor, Claude Code, or Aider, including experience deploying custom MCP servers.
- Solid grasp of LLM fundamentals such as RAG pipelines, embeddings, and tokenization to make informed architectural trade-off decisions.
What makes it remarkable
Why this role is remarkable
- Lead the AI transformation of a 20+ person engineering team with talent from Amazon and TikTok, defining how the organization ships code.
- Exceptional traction including triple-digit year-on-year growth and $100M+ in annual recurring revenue following a successful $22M Series A.
- High-autonomy role where you serve as the bridge between cutting-edge LLM research and production-ready engineering infrastructure.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.