AI Integration Engineer | MCP & Agentic AI - Gothenburg

Wise IT; Göteborgs kommun; Presencial; SEK 700.000 - 900.000; Jornada completa

Descripción de la vacante

You will develop MCP tools, integrate internal and external APIs, implement OAuth2 and token management, and ensure secure data handling. You will work with containerization, deployment, monitoring, and version control to deliver scalable solutions.

A strong background in TypeScript or Python and a passion for AI and system integration will help you thrive in our fast-evolving environment.

Formación

• Proven experience building software with TypeScript or Python.
• Strong API integration and REST API knowledge.
• Experience with authentication/authorization, OAuth2 and token management.
• Understanding MCP and AI-agent interactions with tools.

Responsabilidades

• Design MCP tools and schemas for interaction between AI agents and external systems.
• Build integrations with internal and external APIs.
• Implement authentication and authorization mechanisms (OAuth2, service principals, OBO, M2M).
• Ensure secure data handling, secrets management, and GDPR compliance.
• Develop and improve AI agents and agent-based workflows.
• Work with containerization, deployment, monitoring, and version control.
• Ensure solutions are scalable, reliable, and maintainable.

Conocimientos

TypeScript

Python

API integrations

OAuth2

MCP

Containerization

Monitoring

Agent-based systems

REST APIs

Security best practices

Herramientas

MCP SDKs

Git

REST clients

OAuth tooling

Descripción del empleo

We are looking for an experienced and curious AI Integration Engineer who wants to work with cutting-edge AI technologies, API integrations, and agent-based systems.

In this role, you will combine traditional software development with emerging AI technologies, focusing on building secure, scalable, and efficient solutions that connect AI agents with existing systems and services.

You will work with Model Context Protocol (MCP), API integrations, and the development of tools that enable AI agents to interact with different systems in a structured and secure way.

About The Role

As an AI Integration Engineer, you will play a key role in designing, developing, and implementing AI-driven solutions and integrations.

You will be involved throughout the development lifecycle, from architecture and implementation to deployment and maintenance.

Your Responsibilities Will Include

• Designing and developing MCP tools and schemas that enable effective interaction between AI agents and external systems.
• Building integrations with internal and external APIs.
• Implementing authentication and authorization mechanisms, including OAuth2, service principals, OBO, and M2M.
• Ensuring secure data handling, including secrets management, safe logging, and GDPR compliance.
• Developing and improving AI agents and agent-based workflows.
• Working with containerization, deployment, monitoring, and version control.
• Ensuring solutions are scalable, reliable, and maintainable.

Who Are We Looking For?

We are looking for someone with a strong technical background in software development and system integration, combined with an interest in AI and emerging technologies.

We Believe You Have

• Experience developing applications using TypeScript and/or Python.
• Strong knowledge of API integrations and REST APIs.
• Experience with authentication and authorization, including OAuth2 and token management.
• Understanding of MCP and how AI agents interact with tools and external systems.
• Knowledge of security best practices, including least-privilege access, secrets management, and secure data handling.
• Experience with containerization, deployment, and monitoring.
• Understanding of agentic AI concepts and architectures.

Nice to Have

It Would Be An Advantage If You Also Have

• Hands-on experience building and deploying AI agents.
• Experience working with MCP SDKs.
• Knowledge of Java.
• Experience handling API rate limits, pagination, and token lifecycles.
• Experience within the airline or aviation industry.
• Familiarity with Crewnom products and systems.

About You

You are a solution-oriented developer with a genuine interest in AI and modern software architecture.

You enjoy working in an environment where technology evolves rapidly and where you have the opportunity to combine established software engineering practices with emerging AI capabilities.

You understand how different systems interact and can translate technical requirements into practical, reliable solutions.

You are comfortable taking ownership of technical challenges, collaborating with others, and contributing to the development of innovative solutions.