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Ruby Labs

MCP Engineer, AI Backend Engineer

Ruby Labs

MCP Engineer / AI Backend Engineer developing MCP infrastructure and AI-powered backend services for Ruby Labs. Collaborating with internal teams to build reliable and scalable systems.

Posted 5/25/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
JavaScriptNext.jsNode.jsTypeScript

About the role

Key responsibilities & impact
  • Design, build, and maintain MCP servers and MCP-based integrations
  • Implement MCP tools, resources, prompts, and backend interfaces
  • Build reliable communication between AI agents, tools, and backend systems
  • Define clean contracts for MCP tools and services
  • Improve the stability, predictability, and maintainability of MCP infrastructure
  • Test MCP tool behavior across different usage scenarios
  • Monitor and improve the quality of AI-tool interactions
  • Build and maintain backend services using TypeScript and Node.js
  • Work with backend frameworks such as Hono, Fastify, NestJS, and Next.js backend/API routes
  • Implement REST APIs, internal endpoints, service-to-service integrations, and automation flows
  • Work with authentication, request validation, error handling, logging, and observability
  • Design clean, maintainable backend architecture for internal and production-facing systems
  • Write production-quality code with clear structure and good error handling
  • Build and deploy backend services on Cloudflare Workers
  • Work with edge runtime limitations and best practices
  • Design lightweight, performant services for edge/serverless environments
  • Debug issues related to worker execution, routing, request handling, and deployment
  • Use Cloudflare services when needed, such as KV, Durable Objects, Queues, R2, or D1
  • Optimize backend services for performance, reliability, and cost efficiency
  • Build AI-powered workflows and internal automation tools
  • Design prompts, system instructions, and tool definitions for reliable AI behavior
  • Improve the quality, consistency, and predictability of AI outputs
  • Analyze AI workflow failures and improve prompts, context, or tool contracts
  • Structure data and context for better LLM performance
  • Build testable AI workflows that can be evaluated and improved over time
  • Work with LLM APIs such as OpenAI, Anthropic, Claude, or similar providers
  • Build integrations between internal systems, APIs, and AI tools
  • Automate repetitive operational or engineering workflows
  • Design backend flows that connect AI agents with real business systems
  • Ensure integrations are secure, observable, and maintainable
  • Build internal utilities and developer tools when needed
  • Investigate and fix issues across MCP servers, backend services, Cloudflare Workers, AI workflows, and API integrations
  • Improve logging, monitoring, and observability for AI/backend systems
  • Identify root causes of unreliable tool behavior or incorrect AI outputs
  • Make systems easier to debug, test, and maintain
  • Document technical decisions and implementation details clearly

Requirements

What you’ll need
  • Strong experience with TypeScript
  • Strong experience with Node.js
  • Experience building backend services or APIs
  • Experience with at least one backend framework, such as Hono, Fastify, NestJS, or Next.js backend/API routes
  • Experience with Cloudflare Workers or similar serverless/edge environments
  • Good understanding of REST APIs, JSON, authentication flows, logging, and error handling
  • Experience building integrations between services and APIs
  • Interest in AI tools, LLMs, and automation
  • Experience with prompt engineering or AI workflow design
  • Ability to write clean, maintainable, production-quality code
  • Strong debugging skills
  • High ownership mindset and ability to work independently

Benefits

Comp & perks
  • 100% remote work
  • High trust and ownership
  • Direct impact on AI, automation, and internal engineering workflows
  • Opportunity to work with modern AI tooling and MCP-based infrastructure
  • Exposure to real-world backend systems and production workflows
  • Competitive compensation based on experience
  • Company-provided MacBook if needed
  • Unlimited PTO focused on outcomes, not hours

ATS Keywords

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Hard Skills & Tools
TypeScriptNode.jsREST APIsHonoFastifyNestJSNext.jsCloudflare WorkersJSONprompt engineering
Soft Skills
strong debugging skillshigh ownership mindsetability to work independently