About 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.
What 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.
Requirements
What 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