Senior AI Engineer
XALT Business Consulting GmbH
München, Germany
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
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
+4 more
Large Language Models
Agentic-AI
Containerization
Software Version Control
Job 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.
Requirements
- 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.
Benefits & conditions
- 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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