AI Internal Developer Tooling Engineer
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 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
Responsibilities
• Align the Fanvue codebase with modern AI coding tools such as Cursor and Claude Code • 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 • Play a critical part in defining how AI integrates into engineering • Directly impact developer velocity, feature delivery, and product quality • Work closely with senior engineers and company leadership • Help raise the bar on how modern product teams operate • And we make sure our people are supported:
Benefits
• Named one of The Sunday Times Best Places to Work 2025 — we’re building something exceptional, and we’re just getting started. • At Fanvue, we build with AI. • We encourage every team member to experiment with AI tools, design automations, and rethink manual work. We cover tool subscriptions and provide access to credits so you can test, iterate, and optimise freely. You won’t just use AI here, you’ll help shape how it’s used responsibly at scale. • Unlimited holiday • Remote-first environment • Flexible working hours - perform when you perform best • Dedicated 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.