LLM Deployment Engineer
This listing is for a LLM Deployment Engineer role at Destinusgroup, in Zürich, Switzerland. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a LLM Deployment Engineer role at Destinusgroup, in Zürich, Switzerland. It is listed as a full-time position.
Reading the advert, the employer asks for 3+ years of experience.
Skills and tools named in the text include AWS, Azure, GCP, Kubernetes, CI/CD, LLM and observability.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Switzerland for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 6, 2026.
- Employer
- Destinusgroup
- Location
- Zürich, Switzerland
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 3+ years
- Found
- Nov 6, 2026 on Arbeitnow
- Employer text
- 334 words, about 2 min to read
- Apply only on the official page (arbeitnow.ch). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 3+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (AWS, Azure, GCP and Kubernetes) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Geneva (ICSC post adjustment 80.3), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Work permit B / L (non-EU quota): Highly qualified specialists, employer proves no Swiss or EU candidate; annual quotas
- EU/EFTA free movement permits: Registration for EU/EFTA nationals with a job
Official routes: State Secretariat for Migration (SEM)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About the role
We are seeking an LLM Deployment Engineer to drive the adoption of AI-powered automation across the organization. In this role, you will deploy and scale LLMs to streamline business processes and assist engineering R&D.
You'll work at the intersection of ML, software infrastructure engineering, and enterprise systems, by developing integration and automation solutions that enable teams across the organization to operate more efficiently.
02What You´ll Do
· 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.
03What You’ll Need
· 3+ years of professional experience in software engineering
· Experience working 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
04Nice to have
· Knowledge of Model Context Protocol (MCP) or similar interoperability standards
· Experience with AI governance, observability, or operational monitoring
· Proficiency with cloud platforms (AWS, GCP, or Azure), and high-performance computing environments (Kubernetes, SLURM).
· Experience in evaluating ML models.
05Who You Are
You thrive in fast-paced environments where ambiguity is part of the challenge, and you can turn it into defined goals. You take ownership seriously and move things forward without waiting for perfect conditions. You know how to balance structure with flexibility without losing focus. Above all, you measure success by outcomes and take pride in getting things done.
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