AI Developer Engineer

Design and implement a coherent AI ecosystem around the existing Design System.

Explore how AI capabilities can be integrated into Design System workflows, documentation, and developer tools.

Identify opportunities to improve how developers discover, understand, and consume Design System components and resources using AI.

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.

Strong software engineering background and hands-on development experience.

Practical knowledge of the Model Context Protocol (MCP), including building or integrating MCP servers, tools, or clients.

Experience designing and implementing reusable prompts, AI skills, agent instructions, or AI-powered workflows.

Experience integrating AI capabilities into software development processes or developer tooling.

Ability to package technical capabilities into reusable, documented solutions that other developers can easily adopt.

Understanding of API integrations, software architecture, modular design, and maintainable code.

Strong problem-solving skills and the ability to turn emerging AI technologies into practical engineering solutions.

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.

A day off for your birthday so you can celebrate it however you like!

Improvements in paid leave for a better work-life balance.

Access to private medical insurance for your peace of mind.

Extra vacation days based on your seniority, because we value your rest and well-being.

At Pasiona, we are committed to diversity and equal opportunities.

We encourage all individuals to apply, regardless of gender, age, disability, sexual orientation, gender identity, ethnic origin, religion, or any other personal or social circumstances.