LLM Automation Engineer — Deployment & Scale

Destinusgroup; Zürich; On-site; CHF 120,000 - 210,000; Full time

Job summary

Destinusgroup is seeking an LLM Deployment Engineer to drive AI-powered automation across the organization. You will deploy and scale LLMs to streamline business processes and support engineering R&D.

You will bridge ML, software infrastructure engineering, and enterprise systems, developing integrations that enable teams to operate more efficiently. You will stay current with model releases and ensure secure automation pipelines.

Qualifications

• 3+ years of professional software engineering experience.
• Experience with LLM APIs, both open-weight and proprietary.
• Familiarity with LLM applications, including tools, retrieval-augmented generation (RAG) and routing.
• Experience with CI/CD pipelines, infrastructure as code, and modern software delivery practices.
• Understanding of security and privacy considerations in enterprise environments.
• Strong problem-solving skills and the ability to collaborate effectively across technical and non-technical teams.

Responsibilities

• Deploy and maintain open-weights LLMs on cloud and local cluster.
• Scale deployments to serve a large number of users within the organization.
• Be up-to-date with new model releases, to keep our deployment state of the art.
• Connect LLMs to specific use cases, helping users across the organization to automate their work routine.
• Analyze the effectiveness of models on automation tasks.
• Embed security and privacy in the automation pipeline, to safeguard sensitive content.

Skills

Software engineering

LLM APIs

CI/CD & IaC

Security & privacy

Cross-functional collaboration

Tools

Cloud platforms (AWS/GCP/Azure)

Kubernetes

SLURM

Job description

Destinusgroup is seeking an LLM Deployment Engineer to drive AI-powered automation across the organization. You will deploy and scale LLMs to streamline business processes and support engineering R&D.

You will bridge ML, software infrastructure engineering, and enterprise systems, developing integrations that enable teams to operate more efficiently. You will stay current with model releases and ensure secure automation pipelines.