AI Integration Engineer | MCP & Agentic AI - Gothenburg

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. DIN ANSÖKAN // TALENT SPEAKS LOUDER För att söka rollen klicka på ”Ansök nu”, samt bifoga CV. Notera att vi ej kan ta emot ansökningar via mail. I konsultvärden går det ofta snabbt så tjänsten kan komma att tillsättas innan sista ansökningsdatum. Vänta därför inte med din ansökan. Har du frågor om rollen är du välkommen att kontakta ansvarig konsultchef (NAMN & MAIL).