AI Integration Engineer

Join EGYM as an AI Integration Engineer in Munich or Berlin. In this role, you will be responsible for building the practical backbone of AI adoption at EGYM, turning high-impact use cases into secure, reliable, and production-grade systems. You will design and build AI-powered proof of concepts, implement LLM-based workflows, integrate AI solutions into existing systems, and ensure compliance and security. You will also support the stability and quality of internal tools and take prioritized use cases from proof of concept to live, production-grade systems.

• Prototyping and Production: Design and build AI-powered proof of concepts for prioritized internal use cases, then take the ones that prove their value through to production.
• AI Implementations: Work with internal MCP servers and implement LLM-based workflows including RAG systems and intelligent automations.
• System Integration: Integrate AI solutions into existing systems including Google Workspace, Slack, ERP, CRM, and internal platforms, handling the auth flows and access scopes each one requires.
• If you're a strong technical builder who wants to work at the cutting edge of applied AI and Agentic AI workflow automations, this is your opportunity to make a significant impact on our path to becoming an AI-native company
• Cloud and Security Knowledge: You have a working knowledge of a major cloud platform, Google Cloud preferred, plus a strong grasp of authentication, authorization, and data security
• AI and LLM Expertise: You have practical experience building LLM-based systems such as MCP Servers, RAG pipelines, agentic workflows, ideally with at least one running in a real environment
• Experience: You gained solid hands-on software engineering experience (3 to 5 years), comfortable owning code from prototype through to production
• Communicator and Collaborator: You have strong communication in English, able to explain technical trade-offs to non-technical stakeholders
• Pragmatic Approach: You possess a pragmatic, product-minded approach focused on real user impact
• Technical Skills: You are fluent in Python, Java or comparable languages and the common AI tooling ecosystem, with the ability to integrate across enterprise APIs
• Frameworks and Lowcode: You acquired experience with multi-agent frameworks such as CrewAI and low-code platforms such as Dataleap or n8n
• System reliability: You are familiar with CI/CD, observability, and reliability practices for AI or data systems