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AI Engineer (80%-100%) - Zurich
Code Compass ðŸ§
Zurich, KSA
Full Time
Mid
Hybrid
3 weeks ago
PythonLLMLangGraphNLPAWSDocker
Free
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PythonLLMLangGraph
About the Role
A fast-growing AI technology company in Zurich is seeking an AI Engineer to join a small, high-impact team working on cutting-edge agentic AI systems.
Key Skills for This Role
PythonLLMLangGraphNLPAWSDocker
Responsibilities
- 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
Requirements
- 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
Full Job Posting
AI Engineer – 100%
- Location: Zürich, Switzerland | Salary: 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.
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.
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