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.
Your daily workout
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
Your fitness level
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
Your training goal for your first 6 months
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
The 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 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
Contact Information
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
About EGYM
Warning regarding phishing emails:
Please be aware that all official EGYM recruitment communication is sent exclusively from [email protected]. If you receive a suspicious message from any other domain, please ignore it and do not share personal information if in doubt.
EGYM is a global fitness technology leader, providing fitness and health facilities with intelligent workout solutions. EGYM makes exercising smarter and more efficient with its comprehensive suite of connected gym equipment and digital products that integrate seamlessly with 3rd-party-hard- and software. The result is a fully connected training experience that drives measurable business and health outcomes on and off the training floor.
EGYM also offers subscription-based corporate fitness- and wellness solutions built on a combination of gym-access and EGYM fitness programs that directly target costly chronic conditions and boost employee health, leading to higher productivity and well-being.
EGYM's global headquarters are in Munich, Germany, with North American offices in Denver, Colorado.
EGYM is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs, regardless of race, gender, religion, sexual orientation, age or any other aspect of an individual's identity.