AI Developer Engineer - MCP & Frontend / Design Systems

Pasiona; Barcelona; Remote; EUR 65,000 - 95,000; Full time

Job summary

Pasiona in Barcelona is seeking a seasoned software engineer to design, develop, and maintain MCP-based integrations and tools. You will build MCP servers and expose Design System resources to AI assistants, while creating reusable AI skills and templates for common tasks.

The role emphasizes packaging capabilities into modular, well-documented assets and improving developer productivity by reducing repetitive tasks and simplifying access to knowledge.

Qualifications

• About 5 years of professional software engineering experience.
• Strong background in frontend development and design systems.
• Experience with APIs, modular design, and tooling automation.

Responsibilities

• Design, develop, and maintain integrations using the Model Context Protocol (MCP).
• Build or integrate MCP servers and tools that expose relevant Design System resources, documentation, components, or development capabilities to AI assistants.
• Develop reusable AI skills, prompt templates, and structured workflows for common development tasks.
• Package AI capabilities into modular, documented, and easy-to-use assets that can be shared across teams.
• Improve developer productivity by reducing repetitive tasks and simplifying access to technical knowledge.
• Create documentation, examples, templates, and guidelines that encourage adoption and gather internal feedback.

Skills

MCP integrations

Frontend development

TypeScript/JavaScript

API integration

AI workflows

Design Systems

Documentation

Modular design

Job description

Main Responsibilities

• Design, develop, and maintain integrations using the Model Context Protocol (MCP).
• Build or integrate MCP servers and tools that expose relevant Design System resources, documentation, components, or development capabilities to AI assistants.
• Develop reusable AI skills, prompt templates, and structured workflows for common development tasks.
• Package AI capabilities into modular, documented, and easy-to-use assets that can be shared across teams.
• Improve developer productivity by reducing repetitive tasks and simplifying access to technical knowledge.
• Create documentation, examples, templates, and guidelines that encourage adoption and gather internal feedback.

AI & MCP Focus:

• Strong software engineering background with practical knowledge of the Model Context Protocol (MCP), including building or integrating MCP servers, tools, or clients.

Frontend & Design Systems Experience:

• Strong background in frontend development, ideally with experience working closely with or around Design Systems, component libraries, or UI frameworks.

Seniority & Experience:

• Middle/Senior level, with approximately 5 years of professional software engineering experience.

AI Workflows:

• Experience designing and implementing reusable prompts, AI skills, agent instructions, or AI-powered workflows into software development processes.

Architecture & Delivery:

• Ability to package technical capabilities into modular, documented solutions that other developers can easily adopt, backed by solid API integration skills and clean modular design.
• Experience working with AI coding assistants and agent-based development workflows.
• Familiarity with LLM APIs, tool calling, structured outputs, and context management.
• Experience with TypeScript/JavaScript and modern web development ecosystems.
• Experience with developer platforms, CLI tools, internal tooling, or automation.
• Familiarity with design systems, component libraries, UI frameworks, and technical documentation.
• Experience with automated testing, evaluation, and quality assurance for AI-powered solutions.
• Understanding of AI security, permissions, privacy, and governance.

English is a must Remote in Barcelona