> Markdown version of [/jobs/ext/1175933-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1175933-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ENGINEER - **Company:** OBERMEYER Infrastruktur GmbH & Co. KG - **Location:** München, Germany - **Salary:** €60,000.0 - €82,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Building Information Modeling, Cloud Computing, Continuous Integration, Data Architecture, Document Management Systems, Python (Programming Language), Machine Learning, Tensorflow, Unstructured Data, Pytorch, Office365, Large Language Models, Prompt Engineering, Generative AI, Information Technology, Deployment Automation, HuggingFace, Machine Learning Operations, Virtual Agents - **Published:** July 4, 2026 - **Apply:** https://www.xing.com/jobs/muenchen-ai-engineer-155867156 ## About the Role * Degree in Computer Science, Mathematics, Data Science or comparable * Several years of hands-on AI/ML development experience * Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, LangChain, Hugging Face, TensorFlow) * Experience with LLMs, prompt engineering and agentic AI * Knowledge of cloud infrastructure (Azure preferred) and CI/CD practices * Passion for AI and the drive to solve real-world problems * Ability to explain technical concepts clearly to non-technical audiences in English and German * Self-directed with a high appetite for learning * Team player with an interest in interdisciplinary collaboration ## Description * AI Development & Implementation * Develop and implement AI solutions based on LLMs, machine learning and generative AI * Build and operate AI agents and automation workflows (e.g. Copilot Studio, LangChain, TensorFlow) * Integrate AI models into existing systems (ERP, BIM, document management, M365) * Develop RAG systems for internal knowledge bases * Build prototypes for new use cases identified by business units * Data & Modelling * Process and prepare unstructured data (documents, plans, reports) for AI applications * Carry out model training, fine-tuning and evaluation * Ensure data quality and integrity within AI pipelines * Collaborate closely with the Data Engineer / Data Architect on platform integration * Governance & Quality * Conduct standardised risk assessments for new AI deployments (data protection, bias, security) * Adhere to Obermeyer Group's ethical AI guidelines (fairness, transparency, human-in-the-loop) * Document models, architectures and decisions in line with internal AI governance standards * Support the preparation of AI Innovation Requests for the AI Board ## Related Videos - [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) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)