• Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products. • Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively. • Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment. • Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices. • Stay current on emerging methods in AI – e.g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications. • Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows. • Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators. • Write production-grade Python code to support models, pipelines, and experimental frameworks. • Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals.

• Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products. • Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively. • Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment. • Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices. • Stay current on emerging methods in AI – e.g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications. • Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows. • Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators. • Write production-grade Python code to support models, pipelines, and experimental frameworks. • Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals.

• Lead three AI Ops Engineers — own their delivery, development, and day-to-day work • Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve • Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work • Build RAG pipelines for internal knowledge retrieval that ground agents in real organisational context • Keep the AI tooling stack healthy as usage scales across 2,500+ employees • Stay current on emerging AI tools and technologies - know what's hype and what's actually useful • Help refine AI training for the wider organisation, including Software Engineering teams

Role Description We're looking for a motivated Engineering student who is eager to build real software products, learn from experienced engineers, and contribute to innovative solutions. If you're passionate about software development, AI, and solving challenging problems, we'd love to hear from you. - Develop new features for our software products. - Build modern web applications using React and TypeScript. - Leverage AI-powered development tools to accelerate software development. - Work with cloud-native technologies, including Microsoft Azure and Kubernetes. - Collaborate with experienced software engineers throughout the entire development lifecycle. - Propose and implement new ideas and product features that can have a real impact. Qualifications - Currently pursuing a Bachelor's or Master's degree in: - Computer Engineering - Electrical and Computer Engineering - Computer Science - or a related field. - Passion for software engineering and emerging technologies. - Curiosity, initiative, and a willingness to learn. - Strong problem-solving skills. - Ability to work collaboratively in a team environment. - Familiarity with React or TypeScript is a plus, but not required. Benefits - A hands-on internship working on real products, not sample projects. - The opportunity to contribute ideas and influence product development. - Continuous mentoring and technical guidance from experienced engineers. - Training throughout the internship. - Exposure to modern Cloud and AI technologies. - A collaborative and innovative work environment. - Standard working hours. - Internship duration of 2 months. Company Description We are a dynamic IT company specializing in consulting and implementation services for our clients. Our current focus lies in cloud implementation and management, covering areas such as cloud architecture and infrastructure, cloud migration, IT managed services, and software development. Many renowned companies already rely on our expertise and trust in the quality of our work. Our story began in 2014 with the founding of XIBIX Solutions GmbH, an IT startup based in Unterschleißheim, just north of Munich. Since then, we’ve experienced strong growth — and we’re far from done! With ambitious plans ahead, we’re looking for motivated talents across all areas to join the XIBIX IT Group at our locations in Hamburg, Munich, Constance, Landshut, and Porto or remotely. At XIBIX, we bring together doers, creatives, and experts who inspire our clients with innovative solutions and a genuine curiosity to explore new ideas. Driven by our passion for cloud technologies, we empower national and international companies to become fit for the digital future.