Senior AI DevOps Engineer

Stack

Responsibilities

• ▹Design and implement agent-based AI solutions that measurably simplify and speed up workflows
• ▹Lead AI initiatives, evaluate use cases with clients, and consistently implement prioritized requirements
• ▹Further develop processes and tools for stable AI and data solutions in cloud environments
• ▹Evaluate new AI and cloud concepts, assess their value, and train colleagues in practical use
• ▹Help shape the AI product and service portfolio, especially around operating AI agent solutions

Requirements

• ▹Several years of experience with AI and LLM applications, data engineering, cloud, and DevOps
• ▹Confident use of modern approaches such as Agentic AI and RAG, with experience in open-source solutions
• ▹Familiarity with major cloud platforms (AWS, Azure, Google Cloud) from hands-on projects
• ▹Confident English communication, adapting to different stakeholders in a client-facing manner
• ▹Strong enthusiasm for technology, following new developments in AI and translating ideas into workable solutions

Soft skills

What we offer

• ▹Extensive training offerings and a transparent career-level model
• ▹Collegial, family-like company culture with peer-level collaboration, including in home-office settings

About the company

A repeated winner of the 'Best IT Employer in Germany (ITK)' award, known for a collegial, family-like company culture that values diversity and individual growth. Home-office work is common, supported by extensive training programs and a transparent career path.