Senior AI/LLM Engineer

<h3>Company Description</h3><p>At <strong>T-Systems</strong>, you will find groundbreaking projects that contribute to social and environmental well-being. We want to welcome new talents like you—people who bring fresh ideas, different perspectives, embrace challenges, and thrive on continuous learning to grow and make an impact on society… all while having fun!</p><p>It doesn’t matter when or where you work—what matters is doing meaningful work that helps move society forward. That’s why we do everything we can to ensure you have the best opportunities for growth by providing you with a strong support network, cutting-edge technology, a modern work environment, and the freedom to work autonomously. We support your continuous personal and professional development so that you can make a lasting impact on society.</p><p>At <strong>T-Systems</strong>, we are a team of around <strong>28,000 employees worldwide</strong>, making us one of the leading global providers of <strong>end-to-end integrated solutions</strong>. We develop <strong>hybrid cloud solutions, artificial intelligence</strong>, and drive the <strong>digital transformation</strong> of businesses, industries, the public sector, and ultimately, society as a whole.</p><h3>Job Description</h3><p>T-Systems is at the forefront of AI innovation, delivering advanced solutions across industries such as automotive, healthcare, and public transportation. Our AI team develops technologies that enhance efficiency and create value for internal projects and clients. We foster a collaborative environment where creativity and expertise thrive.</p><p><strong>About the Role</strong></p><p>We are looking for an <strong>AI/LLM Engineer</strong> to join our <strong>AI Foundation Services</strong> team. In this role, you will develop secure and compliant AI solutions, focusing on:</p><ul><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Custom AI solutions for industries like healthcare, public sector, and automotive</li></ul><p>You will help shape T-Systems' AI products to meet the security and regulatory needs of European enterprises, with a focus on practical, scalable solutions.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and implement AI systems, particularly focusing on LLMs.</li><li>Integrate AI solutions into existing systems and processes.</li><li>Conduct research to explore new techniques and technologies in AI and machine learning.</li><li>Analyze large datasets to identify trends and insights for model development.</li><li>Monitor and improve model performance to ensure accuracy and efficiency.</li><li>Communicate technical concepts effectively to both technical and non-technical stakeholders.</li></ul><p>Why Join Us?</p><p>Work on innovative projects with real impact across industries.<br/> Collaborative and growth-oriented work environment.<br/> Application Process</p><p>If your profile fits, we will proceed with the following interview steps:</p><p>Initial call with a recruiter.<br/> Technical interview with senior ML engineers.<br/> Behavioral interview with the hiring manager.<br/> Final meeting with the target team.</p><h3>Qualifications</h3><p><strong>Qualifications</strong></p><ul><li>Degree in <strong>Computer Science, Machine Learning, or a related field</strong>.</li><li>Strong <strong>problem-solving skills</strong> and attention to detail.</li><li>Proficiency in <strong>Python</strong> and strong programming skills.</li><li>Experience with <strong>LLMs and AI frameworks</strong>: <strong>Transformers, PyTorch, TensorFlow</strong>.</li><li>Experience with <strong>RAG frameworks</strong>: <strong>Llama-Index, LangChain</strong>.</li><li>Ability to integrate AI systems with <strong>APIs, low-latency backends, and production deployment</strong>.</li><li>Ability to quickly grasp new AI concepts, conduct experiments, and propose system improvements.</li><li>Excellent <strong>English communication skills</strong> (both written and verbal).</li></ul><p><strong>Preferred Skills</strong></p><ul><li>Experience with <strong>distributed HPC clusters</strong>: <strong>Ray, Kubernetes, Docker</strong>.</li><li>Experience in <strong>fine-tuning LLMs and embeddings</strong> for specific tasks.</li><li>Experience in <strong>developing and evaluating RAG systems</strong>.</li></ul><h3>Additional Information</h3><p><strong>What do we offer you?</strong></p><ul><li>International, positive, dynamic and motivated work environment.</li><li>Hybrid work model (telecommuting/on-site).</li><li>Flexible schedule.</li><li>Continuous training: Certification preparation, access to Coursera, weekly English and German classes...</li><li>Flexible compensation plan: medical insurance, restaurant tickets, day care, transportation allowances...</li><li>Life and accident insurance.</li><li>More than 26 working days of vacation per year.</li><li>Social fund.</li><li>Free service in specialists (doctors, physiotherapists, nutr