About the Role
<p>XALT builds AI solutions that actually work – not just as proof-of-concepts, but in production. As a Senior AI Engineer, you help shape these systems and work right at the intersection of research and real-world application.</p><h2>What to expect</h2><ul><li>You design and implement AI-powered solutions – from concept to production deployment at our clients.</li><li>You build scalable LLM, RAG, and agent architectures on modern cloud infrastructure.</li><li>You collaborate closely with our consulting and engineering teams to translate AI requirements into technical specifications.</li><li>You maintain high standards: code reviews, testing, monitoring – everything needed to keep systems running reliably.</li><li>You contribute to our Technical Community, share knowledge, and drive AI initiatives across XALT.</li></ul><h2>What you bring</h2><ul><li>You have <strong>at least 5 years of software engineering experience</strong> with a strong focus on machine learning and deep learning.</li><li>You're proficient in Python and comfortable with modern ML frameworks (PyTorch, TensorFlow).</li><li>You have hands-on experience with large language models, RAG architectures, or agent systems – whether from projects, research, or side work.</li><li>You know your way around cloud platforms (AWS, GCP, or Azure) and understand how to deploy and scale ML models efficiently.</li><li>You live software engineering best practices: version control, testing, CI/CD, containerization – not just know about them.</li><li>You can communicate complex technical topics clearly in both German and English.</li><li>You have a genuine passion for AI and want to solve problems that make a real difference.</li></ul><h2>What we offer</h2><ul><li>You work on exciting AI projects with real impact – not pet projects, but systems that are actually used in production.</li><li>Munich or remote: you decide where you're most productive. We trust you.</li><li><strong>Competitive salary and equity participation</strong> – your performance pays off.</li><li>Budget for conferences, courses, and certifications so you stay technically sharp.</li><li>Choose your own equipment – laptop, monitor, peripherals, whatever you need to do great work.</li><li>An open culture with short decision paths, little bureaucracy, and a team that has each other's backs.</li></ul><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>