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Entwicklung & ResearchRAGMachine LearningDeep LearningPyTorchTensorFlowLarge Language Models

Zur OriginalanzeigeDie Bewerbung läuft direkt beim Arbeitgeber.

Warum dieser Job gelistet ist

Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen

Anforderungen

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.

Das wird geboten

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.

Zur Position

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.

Interesse an dieser Position?

Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.

Zur Originalanzeige