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# MCP Engineer / AI Backend Engineer

- **Company:** Jobgether
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Cloud Engineering, Software Debugging, Distributed Systems, Monitoring of Systems, Node.Js, Next.js, Systems Integration, TypeScript, Data Logging, Large Language Models, Prompt Engineering, Backend, Build Management, Production Code, Cloudflare, Api Design, NestJS, Restful APIs, Automation Anywhere, Serverless Computing
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Strong professional experience with TypeScript and Node.js in backend development
Experience building REST APIs, backend services, or distributed systems
Familiarity with backend frameworks such as Hono, Fastify, NestJS, or Next.js API routes
Experience with serverless or edge environments, ideally Cloudflare Workers or similar
Solid understanding of API design, authentication, logging, error handling, and system observability
Hands-on experience integrating services and building automation or internal tools
Strong interest or experience in AI systems, LLMs, and prompt engineering
Ability to write clean, maintainable, production-ready code with strong debugging skills
High ownership mindset and comfort working independently in fast-moving environments
Strong plus: experience with MCP, LLM APIs (OpenAI, Anthropic, Claude), tool-based AI workflows, or Cloudflare ecosystem services

## Description

This role sits at the intersection of backend engineering, AI systems, and modern cloud infrastructure. You will design and build MCP-based services and AI-powered backend systems that support internal teams and production workflows. The position focuses on creating reliable, scalable, and observable AI integrations using TypeScript, Node.js, and serverless edge technologies. You will contribute to the development of automation systems, internal tools, and agentic workflows that enhance operational efficiency. Working in a fast-evolving AI environment, you will help shape how AI tools interact with backend services. This is a hands-on engineering role where experimentation, iteration, and production-grade delivery go hand in hand.
Accountabilities:
Design, build, and maintain MCP servers and MCP-based integrations, ensuring reliable communication between AI agents and backend systems
Develop scalable backend services using TypeScript and Node.js, leveraging frameworks such as Hono, Fastify, NestJS, or Next.js APIs
Build and deploy serverless/edge solutions using Cloudflare Workers and related services (KV, Durable Objects, Queues, R2, D1)
Create and optimize AI-powered workflows, including prompt design, tool definitions, and LLM integrations
Implement APIs, automation flows, and service-to-service integrations with strong focus on reliability, observability, and maintainability
Debug and improve system behavior across MCP infrastructure, backend services, and AI workflows