Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
RubyLabs is expanding its AI and automation capabilities through MCP-based integrations, backend services, internal tools, and AI-powered workflows.
We are looking for an MCP Engineer / AI Backend Engineer who will design, build, and maintain MCP-based services and AI-powered backend systems. This role combines TypeScript, Node.js, Cloudflare Workers, backend engineering, AI tooling, and prompt engineering.
You will be responsible for developing production-ready MCP infrastructure, building backend services, integrating AI tools into internal workflows, and making AI-powered systems reliable, scalable, and easy to use.
You will work on the development of MCP-based infrastructure and AI backend services used by internal teams and products.
You will work across:
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.
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
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
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.
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
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.
RubyLabs is an equal opportunity employer. All qualified applicants will receive consideration without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, age, or any other characteristic protected by law.
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
Recruiter Screening (40 minutes)
Technical Interview (90 minutes)
Final Interview (60 minutes)
