> Markdown version of [/jobs/ext/4654826-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4654826-senior-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). --- # Senior AI Engineer - **Company:** XALT Business Consulting GmbH - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Software Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Containerization, Software Version Control - **Published:** November 10, 2026 - **Apply:** https://www.adzuna.de/details/5959143236 ## About the Role * You have at least 5 years of software engineering experience with a strong focus on machine learning and deep learning. * You're proficient in Python and comfortable with modern ML frameworks (PyTorch, TensorFlow). * You have hands-on experience with large language models, RAG architectures, or agent systems - whether from projects, research, or side work. * You know your way around cloud platforms (AWS, GCP, or Azure) and understand how to deploy and scale ML models efficiently. * You live software engineering best practices: version control, testing, CI/CD, containerization - not just know about them. * You can communicate complex technical topics clearly in both German and English. * You have a genuine passion for AI and want to solve problems that make a real difference. ## Description * You design and implement AI-powered solutions - from concept to production deployment at our clients. * You build scalable LLM, RAG, and agent architectures on modern cloud infrastructure. * You collaborate closely with our consulting and engineering teams to translate AI requirements into technical specifications. * You maintain high standards: code reviews, testing, monitoring - everything needed to keep systems running reliably. * You contribute to our Technical Community, share knowledge, and drive AI initiatives across XALT.