ruby-labs - MCP Engineer / AI Backend Engineer
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Requirements
• 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 • High ownership mindset and ability to work independently • Experience with MCP / Model Context Protocol • Experience building MCP servers or MCP clients • Experience with OpenAI, Anthropic, Claude, or similar LLM APIs • Experience designing tool-based AI workflows • Experience with Cloudflare KV, Durable Objects, Queues, R2, or D1 • Experience with PostgreSQL or other relational databases • Experience with internal developer platforms or automation tools • Experience with agentic workflows, function calling, or tool execution systems • Experience with payments, fintech, checkout flows, or orchestration platforms • Experience building production AI features, not only experimenting with prompts • You are an engineer who enjoys building practical systems that solve real problems. • You can move between backend code, AI workflows, infrastructure, logs, and documentation. You understand that AI-powered systems need strong engineering foundations: clear interfaces, good observability, predictable behavior, and reliable error handling. • You are comfortable working with unclear requirements, turning them into working systems, and improving them through iteration. • You care about code quality, but you are also pragmatic and focused on delivering useful tools that people actually use. • You are comfortable working independently in a remote environment and taking ownership of technical decisions.
Responsibilities
• MCP servers and clients • TypeScript / Node.js backend services • Cloudflare Workers • Backend frameworks such as Hono, Fastify, NestJS, or Next.js backend routes • AI workflows and prompt engineering • Internal automation systems • API integrations • Developer tooling • You will work closely with backend engineers, product managers, and internal stakeholders to build reliable AI-powered tools and backend systems. • MCP DEVELOPMENT • 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 • BACKEND DEVELOPMENT • 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 • CLOUDFLARE WORKERS • 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 • AI & PROMPT ENGINEERING • 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 • INTEGRATIONS & AUTOMATION • 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 • DEBUGGING & RELIABILITY • 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
Benefits
• 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 • LIFE AT RUBYLABS • At RubyLabs, we value engineers who build reliable systems for real-world usage. • As an MCP Engineer / AI Backend Engineer, you will play a key role in developing MCP infrastructure, AI-powered backend services, and internal automation tools that help teams work faster and more effectively. • EQUAL OPPORTUNITY
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