AI Integration Engineer

About the role

Join Egym as an AI Integration Engineer to build the core infrastructure for AI adoption. You will transform high-impact AI applications into secure, reliable, and production-ready systems. This role is crucial for Egym's transition to an AI-native company, focusing on applied AI and agentic workflow automation.

Key facts

What you'll do

• Design and build AI-powered proof-of-concepts for internal use cases, then transition successful ones to production.
• Implement LLM-based workflows, including RAG systems and intelligent automations, using internal MCP servers.
• Integrate AI solutions into existing enterprise systems like Google Workspace, Slack, ERP, and CRM, managing authentication and access.
• Translate use cases into technical architectures, considering hosting, security, and long-term operation.
• Deploy and manage solutions on Google Cloud, utilizing services such as Cloud Run, Secret Manager, and Identity and Access Management, while managing costs.
• Collaborate with IT and Security to ensure compliance and meet review requirements, respecting data ownership and access controls.
• Develop successful prototypes into stable internal tools with proper deployment, hosting, version control, and CI/CD.
• Support teams in hardening prototypes into production-ready applications with robust architecture, security, testing, and scalable deployment.

Requirements

• 3 to 5 years of hands-on software engineering experience, comfortable with owning code from prototype to production.
• Practical experience building LLM-based systems like MCP Servers, RAG pipelines, or agentic workflows, with at least one running in a real environment.
• Working knowledge of a major cloud platform, with Google Cloud preferred, and a strong understanding of authentication, authorization, and data security.
• Fluency in Python, Java, or similar languages, and familiarity with the common AI tooling ecosystem, capable of integrating across enterprise APIs.
• A pragmatic, product-focused approach centered on user impact.
• Strong communication skills in English, able to explain technical trade-offs to non-technical stakeholders.

Nice to have

• Experience with multi-agent frameworks like CrewAI and low-code platforms such as Dataleap or n8n.
• Familiarity with CI/CD, observability, and reliability practices for AI or data systems.

Skills & tools

• Python
• Java
• Google Cloud (Cloud Run, Secret Manager, Identity and Access Management)
• LLM-based systems
• RAG pipelines
• Enterprise APIs
• CI/CD
• CrewAI (nice to have)
• Dataleap (nice to have)
• n8n (nice to have)

Practical notes

• Flexible working hours and a hybrid policy (2 office days per week).
• 30 days of vacation per year.
• Free training with EGYM Wellpass or access to an in-house gym.
• €60 monthly flexible budget for public transportation and meal subsidies.
• Employer-subsidized pension.
• Bike leasing options.
• Apply with CV, salary expectations, and earliest start date, referencing job ID #2004.