Summary
✨ AI‑Generated
Take a central role in building backend foundations and the infrastructure connecting AI systems to production services. You will work primarily with Golang, own critical APIs, and help develop a Model Context Protocol layer that enables AI agents to interact safely and reliably with core systems. This is a high-impact opportunity to shape how AI integrates with production technology.
Highlights
Influential senior role at the intersection of backend engineering and AI, with ownership of core APIs and AI integration infrastructure and significant scope to shape emerging technology practices.
Description
We are looking for a Senior Software Engineer to join our fast-growing engineering team.
The role is suited to a skilled Golang Developer who will play a central role in building the foundation of our backend systems, including the infrastructure that connects our AI systems to production data and services.
You will take ownership of the Ennismore API, powering our ever-evolving e-commerce platform (a platform generating several millions in sales per week), and you'll help build and own the MCP (Model Context Protocol) layer that lets AI agents safely and reliably interact with our core systems.
This is an influential role in our Tech team, sitting at the intersection of our core backend and our emerging AI initiatives.
We're looking for an experienced individual who relishes the chance to challenge themselves in a progressive tech environment, with plenty of scope to shape how AI safely integrates with production systems as we look to double the size of the team.
What you'll do...
Play a central role in building the foundation of the Ennismore backend systemAct as the owner of the Ennismore API which powers our e-commerce system (and generates sales of more than 4M Euro per week)Write services using Golang, using Connect (gRPC) for inter-service communication and Temporal for async communicationDesign, build, and own MCP (Model Context Protocol) server components and tool contracts: the API surface that AI agents use to interact with our systemsBuild and maintain integrations from the MCP layer into our internal APIs and backend systems, exposing well-defined, safe tools rather than raw data accessImplement authentication, authorisation (RBAC), and audit logging so that AI/agent access to production systems is secure by designDesign guardrails at the tool-call layer: validating what each tool is allowed to do, enforcing rate limits, and blocking out-of-scope or anomalous requests before they reach a backend systemPartner with AI/ML and product teams to wire MCP tools into AI agents, and expose the right tools and data contracts as new AI initiatives come onlineOwn and maintain documentation for MCP tool contracts: API signatures, auth requirements, and usage guidanceWork in an agile environment (comfortable estimating tickets and working in sprints)
What we're looking for...
Passionate about technology, with a breadth of professional experience using Golang (amongst others)Ability to write straightforward, well engineered, fully tested and reliable codeExposure to the gRPC framework or similarExperience with microservice architectureHands-on experience implementing MCP (Model Context Protocol) servers or tools, or directly comparable experience building tool-calling/function-calling layers or agent-orchestration infrastructure for LLM-based systemsExperience integrating LLMs or AI agents into production systems — shipped production experience, not just prototypingSolid understanding of API security patterns: authentication, authorisation, RBAC, and audit logging for systems that broker access to sensitive dataTrack record of optimising for low latency in production APIsIdeally, some understanding of or hands-on experience with TypeScript