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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer Advocate - **Company:** CELUM GmbH - **Location:** Wien, Austria - **Experience:** Experienced - **Salary:** €80,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Microsoft Azure, Software as a Service, Computer Programming, Software Engineering, Systems Integration, Large Language Models, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://www.adzuna.at/details/5820984159 ## About the Role * 3+ years of experience in software engineering, AI development, or a related field * Hands-on experience with AI technologies such as LLMs, agents, or AI APIs (e.g. OpenAI, Azure AI) * Strong programming skills * Experience with APIs, system integration, and data pipelines * Practical experience applying AI across development workflows (coding, testing, automation, documentation) * Ability to turn AI concepts into scalable, real-world solutions * Strong problem-solving mindset with a hands-on approach * Excellent communication and collaboration skills * Curiosity and enthusiasm for experimenting with new tools and technologies * Fluent in English; German is a plus ## Description Vienna, 1020 Unbefristet Vollzeit NEU Even great products require remarkable presentations to win on the digital shelf. CELUM solves this challenge with its unique SaaS Content Supply Chain Management Platform. CELUM's software enables Marketing, Brand, and Product teams to build engaging experiences by creating, approving, managing, and distributing content across all channels - and understanding its impact. We make content work! As an AI Developer Advocate, you turn AI from a buzzword into something teams actually use (and love). You bring hands-on AI into everyday workflows, build practical solutions, and help shape how AI becomes a natural part of how we build software at CELUM. Together with our cross-functional teams, you turn ideas into working AI solutions that teams actually use. Responsibilities * Drive hands-on AI adoption by designing and delivering practical AI solutions such as LLM-based applications, agents, and data pipelines, and establishing reusable best practices across teams. * Enable engineering teams to effectively apply AI in their daily work, supporting use cases across coding, testing, documentation, and decision-making, and acting as a go-to expert for integration challenges. * Optimize the software development lifecycle by introducing AI-driven improvements and establishing guardrails, patterns, and toolchains to ensure secure, scalable, and consistent usage. * Translate AI strategy into execution by turning objectives into concrete initiatives, experiments, and measurable outcomes while driving adoption across teams. * Support organizational transformation towards AI-driven ways of working, promoting a data- and AI-first mindset and guiding teams through evolving workflows and processes. * Build and maintain reusable frameworks, templates, and reference architectures while ensuring alignment with security, compliance, and responsible AI practices. * Continuously evaluate new AI capabilities, run experiments, and feed learnings back into product and engineering to drive ongoing improvement. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Austria – the most livable place for software developers?](https://www.wearedevelopers.com/magazine/20-austria-the-most-livable-place-for-software-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)