Job Description

About The Role

We are looking for a Backend Engineer who builds with AI at the centre of their craft — not as a novelty, but as a primary tool that shapes how they design, write, review, and ship code. If you've already integrated Claude Code, agentic coding tools, and MCP servers deeply into your day-to-day, and you have opinions about how to do it well, we want to talk.

You'll join a growing business with real engineering problems: a cloud-based property and content management platform with 11 integrations and more on the way, plus a new Booking & Request Management Platform with real-time data and predictive intelligence features. Your job is to ship meaningful backend work — fast — and to bring the rest of the engineering team along with you on AI-augmented practices.

We are language-agnostic. Our current stack is PHP (Symfony) and Node.js, but we'll happily take a strong engineer from Python, Go, Java, C#, Ruby, or elsewhere who can move quickly between languages — especially with AI tooling at their side. The bar is engineering judgement and AI fluency, not a specific language on your CV.

This role is open to EMEA based candidates.

What This Role Actually Looks Like

• You start a feature by thinking carefully about scope and interfaces, then orchestrate

• Claude Code (or equivalent) to scaffold and iterate.

• You've written CLAUDE.md / AGENTS.md files that materially improve agent behaviour, and you know why they work.

• You configure MCP servers to give agents the right context — internal docs, ticketing,

• databases, observability — and you have a view on what should and shouldn't be exposed.

• You review AI-generated code with the same rigour as human-written code, and you can spot the failure modes that less experienced AI users miss.

• You measure and talk about the impact: cycle time, defect rate, review burden, the things that actually matter.

• You help other engineers level up — pairing, internal docs, lunch-and-learns, custom commands, whatever moves the needle.

Key Responsibilities

• AI-First Development: Lead by example in using Claude Code and agentic tooling for real production work. Establish patterns the team can follow.

• Agent Configuration & MCP: Build and maintain agent instruction files, custom commands/slash-commands, sub-agents, and MCP server integrations that make AI tooling genuinely useful on our codebase.

• AI Workflow Design: Define how AI-generated code enters our repos — review standards, test expectations, security checks, and the guardrails around it.

• Backend Engineering: Ship real backend features and services. AI accelerates the work; it doesn't replace the engineering.

• Code Quality & Review: Set the bar for what good looks like in an AI-augmented codebase.

• Peer-review human and AI-authored code with equal scrutiny.

• Team Enablement: Upskill other engineers in AI tooling — share patterns, write internal guides, run sessions.

• Collaboration: Partner with product, frontend, DevOps, and QA to align technology with business goals.

Requirements

Required Skills

• Backend Development: 4+ years of commercial backend experience in any modern backend language (PHP, Node.js/TypeScript, Python, Go, Java, C#, Ruby, etc.).

• Deep AI Tooling Experience: Hands-on, demonstrable use of Claude Code, Cursor, or similar agentic coding tools as a primary part of your workflow. You should be able to walk us through specific things you've built or shipped using them.

• Agent Configuration: Practical experience writing CLAUDE.md / AGENTS.md / equivalent files, custom commands, and sub-agent setups — and a clear view on what makes them effective.

• MCP (Model Context Protocol): Working knowledge of MCP — connecting agents to internal tools, data sources, or services. Bonus points if you've built your own MCP server.

• API Design: Designing and managing scalable, secure APIs.

• Automated Testing: Strong testing instincts, especially important when reviewing AI- generated code.

• Database Management: Solid grasp of MySQL/relational and NoSQL databases.

• Communication: Strong English (B2+) and the ability to explain AI-augmented workflows to people who haven't used them yet.

Desirable Skills

• Building MCP servers or other agent tooling from scratch.

• Prompt engineering depth — eval harnesses, prompt versioning, structured outputs, tool-use design.

• LLM application development — not just using AI to write code, but building features that incorporate LLMs.

• Azure — our cloud platform.

• CI/CD and DevOps — Azure DevOps, Docker, AKS, infrastructure-as-code.

• Building services from scratch end-to-end.

• Frontend awareness — React or similar.

A Note on Honesty

We're being upfront: this role is for someone who already lives in AI-augmented development.

We're not looking for someone who used Copilot for a sprint, or who read a blog post about

Claude Code last week. We want someone with real depth here who can credibly shape how we work.