Senior AI Engineer

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.

What to expect

• 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.

What you bring

• 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.

What we offer

• You work on exciting AI projects with real impact – not pet projects, but systems that are actually used in production.

• Munich or remote: you decide where you're most productive. We trust you.

• Competitive salary and equity participation – your performance pays off.

• Budget for conferences, courses, and certifications so you stay technically sharp.

• Choose your own equipment – laptop, monitor, peripherals, whatever you need to do great work.

• An open culture with short decision paths, little bureaucracy, and a team that has each other's backs.

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