Automation Engineer (Customer Service)

Xapply; Schweiz; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

Xapply, in partnership with its client, seeks an Automation Engineer (Customer Service) based in Switzerland to transform repetitive support tasks into scalable automation. You will design automated workflows, build AI-powered agents, and enable self-service experiences, reducing manual effort while handling growing customer volumes.

The role blends backend engineering with applied AI, including integration work with internal systems and cloud infrastructure.

Aufgaben

• Design and build automated workflows for customer service processes.
• Develop AI-powered agents and self-service experiences to scale support.
• Create integrations with internal systems and ticketing data sources.
• Work with APIs, LLMs, and cloud infrastructure to automate operations.
• Contribute to automation for billing, quota management, and notifications.

Jobbeschreibung

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Automation Engineer (Customer Service) based in Switzerland.

• This is an engineering role focused on transforming repetitive Customer Service operations into scalable, reliable automation.
• You will design and build automated workflows, AI-powered agents, self-service experiences, and integrations with internal systems.
• Your work will directly reduce manual effort while helping support teams handle growing customer volumes more efficiently.
• You will work hands-on with ticketing data, APIs, LLMs, workflow automation tools, and cloud infrastructure.
• The role combines backend engineering with applied AI, giving you the opportunity to solve practical operational challenges at scale.
• You will also contribute to automation for billing, quota management, customer notifications, and planned infrastructure operations.
• The environment is fast-moving and international, with substantial ownership and opportunities to work on impactful AI infrastructure projects.