AI Integration Engineer (m/f/d)

EGYM
EGYM

Software Engineering, Data Science

Berlin, Germany · Munich, Germany

Posted on Jun 26, 2026
Join 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 production
  • AI Implementations: You work with internal MCP servers and implement LLM-based workflows including RAG systems and intelligent automations
  • System 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 requires
  • Technical Architecture: You translate use cases into technical architectures, including how they will be hosted, secured, and run over time
  • Cloud 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 ownership
  • CI/CD and Tool Stability: You move successful prototypes toward stable internal tools with proper deployment and hosting, version control, and CI/CD
  • Production 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 scale
  • Experience: You gained solid hands-on software engineering experience (3 to 5 years), comfortable owning code from prototype through to production
  • 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
  • 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
  • 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
  • Pragmatic Approach: You possess a pragmatic, product-minded approach focused on real user impact
  • Communicator and Collaborator: You have strong communication in English, able to explain technical trade-offs to non-technical stakeholders
Nice to have
  • 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
  • Advance 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 work
  • Set 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 on
  • Ship to Production: Take prioritized use cases from proof of concept to live, production-grade systems that teams can rely on every day
  • Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
  • Continuous Development: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
  • Work-Life-Balance: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
  • Fit & Healthy: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
  • Flex Budget: Use €60 per month flexibly for public transportation and a meal subsidy
  • Mentoring Program: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
  • Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
  • Subsidized Pension: Profit from our employer-subsidized pension
  • Bike Leasing: Stay active and use our leasing bike offer on your way to work or in your spare time
Apply now with your documents (CV, salary expectations and earliest possible start date) and specify the job ID #2004.

Contact: Lara Kaul

For further information: https://career.egym.com
See more open positions at EGYM