Artificial Intelligence Engineer

Code Compass ?; Zürich; Hybrid; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working

Job summary

We are seeking an AI Engineer to join a fast-growing AI technology company building an advanced AI agent platform for large global enterprises. The role focuses on designing AI agents, multi-agent orchestration, and production-ready ML solutions using Python.

You'll work with LangGraph, NLP and LLM techniques, and integrate systems with enterprise platforms (CRM, ERP). Hybrid work and equity potential accompany a competitive salary.

Qualifications

• 3+ years experience building and deploying ML systems.
• Experience with LLM orchestration or agent frameworks (e.g. LangGraph).
• Experience with AWS, Docker, or Kubernetes.
• Design and build AI agents and multi-agent orchestration systems.

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

Skills

Python

Multi-Agent Systems

LangGraph

NLP / AI Orchestration

AWS Cloud

Enterprise API Integrations

Tools

LangGraph

Docker

Kubernetes

AWS Cloud

Job description

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.

• Python
• Multi-Agent Systems / Agent Frameworks
• LangGraph (preferred)
• NLP / AI Orchestration
• AWS Cloud
• 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
• 3+ years experience building and deploying ML systems
• Experience with LLM orchestration or agent frameworks (e.g. LangGraph)
• Experience with AWS, Docker, or Kubernetes
• Interest in agentic AI and large-scale AI systems
• 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.