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Artificial Intelligence Engineer

Code Compass 🧭 Zurich, Switzerland
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🧭 AI Engineer – 100%


📍 Zürich, Switzerland | 💰 100k-130k + Stock Options | 🌍 Hybrid (2–3 days office)


Our client is a fast-growing AI technology company building an advanced AI agent platform for large global enterprises.


Their platform combines large language models, proprietary AI technology, and deep enterprise integrations to orchestrate intelligent AI agents capable of resolving complex customer requests end-to-end.


They are looking for an AI Engineer to join a small, high-impact AI team working on cutting-edge agentic AI systems deployed in real-world enterprise environments.


⚙️ Tech Stack


  • Python
  • Large Language Models (LLMs)
  • Multi-Agent Systems / Agent Frameworks
  • LangGraph (preferred)
  • NLP / AI Orchestration
  • AWS Cloud
  • Docker & Kubernetes
  • Enterprise API Integrations


🚀 About the Role


  • Design and build AI agents and multi-agent orchestration systems
  • Develop production-ready ML solutions using Python
  • Research and implement advanced NLP and LLM techniques
  • Integrate AI systems with enterprise platforms (CRM, ERP, knowledge systems)
  • Deploy scalable AI solutions into real-world production environments
  • Collaborate closely with product and engineering teams


➕ Nice to Have


  • 3+ years experience building and deploying ML systems
  • Experience with LLM orchestration or agent frameworks (e.g. LangGraph)
  • Strong Python engineering skills
  • Experience with AWS, Docker, or Kubernetes
  • Interest in agentic AI and large-scale AI systems


💪 Benefits


  • Work on cutting-edge AI technology used by global enterprises
  • High ownership in a fast-growing startup environment
  • Hybrid working with flexible hours
  • Competitive salary + equity potential
  • International team with regular company meetups


✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.


  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Industries

    Staffing and Recruiting, IT Services and IT Consulting, and Technology, Information and Media

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