AI Developer Tooling Engineer

Proven software engineering experience with TypeScript in production environments. Hands-on expertise with Cursor and Claude Code, plus familiarity with tools like CodeRabbit. Experience running Context 7, Puppeteer, MCP Compass or comparable servers. Solid understanding of Next.js, Express, and modern front-end/back-end tooling. Strong Git/GitHub workflow knowledge (PR review, CI/CD, trunk-based development). Deep understanding of LLM fundamentals — RAG pipelines, embeddings, fine-tuning, tokenization, performance trade-offs. Broad knowledge of the LLM model landscape and practical prompting expertise across technical and creative tasks. Secure coding mindset and confidence working with local and containerised dev environments. Experience working with AWS.

Build and maintain AI-first developer tools that streamline how we ship software. Experiment with emerging coding agents and workflows, rolling out the most impactful solutions across engineering. Operate and scale MCP servers and related infrastructure to optimise development speed and reliability. Document best practices and create an AI-ready knowledge base that empowers engineers and LLMs alike. Demonstrate measurable improvements in developer efficiency through AI-driven solutions. Shape the future AI tool stack at Fanvue and drive adoption across the team.