AI Integration Engineer (m/f/d)

Skip to main contentEnglishEnglishBack to all jobsAI Integration Engineer (m/f/d)Germany, Munich, Germany, BerlinFull-timePermanent employeeApply for this jobYour daily workoutJoin EGYM as our AI Integration Engineer (m/f/d) in Munich or Berlin! In this pivotal role, you build the practical backbone of AI adoption at EGYM, turning high-impact use cases into secure, reliable, and production-grade systems. 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. Prototyping and Production: You design and build AI-powered proof of concepts for prioritized internal use cases, then take the ones that prove their value through to productionAI Implementations: You work with internal MCP servers and implement LLM-based workflows including RAG systems and intelligent automationsSystem Integration: You integrate AI solutions into existing systems including Google Workspace, Slack, ERP, CRM, and internal platforms, handling the auth flows and access scopes each one requiresTechnical Architecture: You translate use cases into technical architectures, including how they will be hosted, secured, and run over timeCloud Deployment and Management: You design and deploy on Google Cloud, making sensible use of services such as Cloud Run, Secret Manager, and Identity and Access Management, and reasoning about cost Compliance and Security: You work with IT and Security to meet review and compliance requirements, respecting each system's access controls and data ownershipCI/CD and Tool Stability: You move successful prototypes toward stable internal tools with proper deployment and hosting, version control, and CI/CDProduction Hardening: You support teams in taking vibe-coded prototypes and turning them into production-ready applications, hardening them with proper architecture, security, testing, and deployment so they can run reliably at scaleYour fitness levelExperience: You gained solid hands-on software engineering experience (3 to 5 years), comfortable owning code from prototype through to productionAI 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 environmentCloud 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 securityTechnical Skills: You are fluent in Python, Java or comparable languages and the common AI tooling ecosystem, with the ability to integrate across enterprise APIsPragmatic Approach: You possess a pragmatic, product-minded approach focused on real user impactCommunicator and Collaborator: You have strong communication in English, able to explain technical trade-offs to non-technical stakeholdersNice to haveFrameworks and Lowcode: You acquired experience with multi-agent frameworks such as CrewAI and low-code platforms such as Dataleap or n8nSystem reliability: You are familiar with CI/CD, observability, and reliability practices for AI or data systemsYour training goal for your first 6 monthsAdvance AI-native EGYM: Support EGYM's shift to an AI-native company from the technical side, embedding solid AI systems and practices into how teams workSet the Reliability Bar: Support the stability and quality of internal tools, including those others have built, establishing the security and reliability standard that adoption can depend onShip to Production: Take prioritized use cases from proof of concept to live, production-grade systems that teams can rely on every dayThe equipment we provide Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making processContinuous Development: Develop your skills with varied, challenging tasks and...