AI Agent Architect: Hybrid & LLM Orchestration

Code Compass ?; Zürich; Hybrid; CHF 110,000 - 170,000; Full time

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, 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.