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Mcp Developer Job Jobs (NOW HIRING)

Jobgether

Direct impact on AI systems, automation, and internal developer tooling * Opportunity to work with cutting-edge MCP and LLM-based infrastructure * Exposure to real-world, production-scale backend and ...

Satsuma

MCP App and ChatGPT App Developer

Austin, TX · Remote

About the Role We're hiring a developer with deep, hands-on experience building with MCP and ChatGPT Apps . This is not a general AI role. You should already be comfortable working inside these ...

Runlayer

Developer Relations Lead

New York, NY · On-site

$64.50 - $84.50/hr

The co-creator of MCP is on our cap table. We helped establish the protocol, and now we're building ... As our Developer Relations Lead, you'll own Runlayer's physical presence in the developer and ...

Satsuma

MCP App and ChatGPT App Developer

Austin, TX · On-site +1

About the Role We're hiring a developer with deep, hands-on experience building with MCP and ChatGPT Apps . This is not a general AI role. You should already be comfortable working inside these ...

Sightly

MCP Solutions Architect

$64.50 - $85/hr

... Engineering to define new MCP tools and improvements • Troubleshoot tool call issues, integration problems, and unexpected agent behavior • Create documentation, examples, and best practices for ...

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How much do mcp developer job jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for mcp developer job in the United States is $59.78, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $72.60 per hour, depending on experience, location, and employer.
Infographic showing various Mcp Developer Job job openings in the United States as of May 2026, with employment types broken down into 10% Internship, 76% Full Time, and 14% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $124,335 per year, or $59.8 per hour.

MCP Engineer / AI Backend Engineer

Jobgether

Remote

Full-time

PTO

Posted 5 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a MCP Engineer / AI Backend Engineer in Netherlands.

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
Requirements:
  • 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
Benefits:
  • 100% remote work flexibility
  • High level of ownership and autonomy
  • Direct impact on AI systems, automation, and internal developer tooling
  • Opportunity to work with cutting-edge MCP and LLM-based infrastructure
  • Exposure to real-world, production-scale backend and AI systems
  • Competitive compensation aligned with experience
  • Company-provided MacBook if required
  • Unlimited PTO focused on outcomes rather than hours worked
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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