Artificial Intelligence Engineer

Code Compass ?

Zürich

Hybrid

CHF 110,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Hybrid working
Equity potential
Competitive salary
Global team meetups

Job summary

Our client, a fast-growing AI technology company, is building an advanced AI agent platform for large global enterprises. They require an AI Engineer to join a small, high-impact AI team working on agentic AI systems deployed in real-world environments.

You will design and implement AI agents, develop production-ready ML solutions in Python, and integrate AI capabilities with enterprise platforms, collaborating closely with product and engineering teams in a hybrid work setup.

Qualifications

  • 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.
  • Hybrid working with flexible hours.
  • Competitive salary + equity potential.

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
NLP / AI Orchestration
AWS Cloud
Enterprise API Integrations
LangGraph

Tools

LangGraph
Docker
Kubernetes

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.

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