Lausanne AI Engineer — End-to-End Deployment & Automation

Tradition

Lausanne

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 12 Tagen
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Zusammenfassung

Tradition is seeking a Forward Deployed AI Engineer to be based in Lausanne. The role collaborates with business teams to understand workflows, redesign processes, and deliver AI-enabled solutions end-to-end.

You will own projects through discovery, design, build, deployment and ongoing improvement, leveraging AI agents and LLMs via vLLM. Responsibilities include scaling deployments across regions, establishing CI/CD pipelines, monitoring model performance, and delivering practical documentation

Qualifikationen

  • Degree in Computer Science, Software Engineering, or related field.
  • 2+ years as a software engineer with stakeholder interaction.
  • Strong Python coding and maintainable language.

Aufgaben

  • Collaborate with teams to understand workflows and scope end-to-end solutions.
  • Map and redesign processes, automate activities, and drive measurable improvements.
  • Own solutions through full delivery lifecycle from discovery to deployment and improvement.
  • Build applications and AI agents using the platform and on-prem LLMs with vLLM.
  • Support deployment across regions considering infra, regulatory and compliance needs.
  • Establish CI/CD pipelines and ensure reliable releases.

Kenntnisse

Python
Stakeholder Mgmt
CI/CD pipelines
LLM APIs
Autonomy
Software Engineering
Monitoring tools
vLLM

Ausbildung

Bachelor's or equiv in CS/Software Eng

Tools

Prometheus
Grafana
vLLM
Hermes Agent
OpenClaw

Jobbeschreibung

Tradition is seeking a Forward Deployed AI Engineer to be based in Lausanne. The role collaborates with business teams to understand workflows, redesign processes, and deliver AI-enabled solutions end-to-end.

You will own projects through discovery, design, build, deployment and ongoing improvement, leveraging AI agents and LLMs via vLLM. Responsibilities include scaling deployments across regions, establishing CI/CD pipelines, monitoring model performance, and delivering practical documentation

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