At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different points of view, who accept challenges and continuous learning, to grow and impact society… All this, in a fun way!
It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We support you to constantly grow both personally and professionally, so that you can leave a notable mark on society.
T-Systems is a team of around 28,000 people employed around the world, making us one of the world's leading providers of integrated end-to-end solutions. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.
We are seeking a talented AI/LLM Engineer to join our AI Foundation Services team. In this role, you’ll develop secure and compliant AI solutions, focusing on delivering foundational services like large language models (LLMs), retrieval-augmented generation (RAG), and custom AI solutions for industries like healthcare, public sector, and automotive. You'll help shape T-Systems' AI products to meet the security and regulatory needs of European enterprises, with a focus on practical, scalable solutions. Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs). Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes. Conduct research to explore new techniques and technologies in AI and machine learning. Analyze large datasets to identify trends and insights that inform model development. Continuously monitor and improve model performance to ensure accuracy and efficiency. Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications Education in Computer Science, Machine Learning, or a related field. Excellent problem-solving skills and attention to detail. Proficiency in Python and strong programming skills. Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChain. Ability to integrate new functional AI systems with APIs, low latency backends and production deployment. Quickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvements. Excellent communication skills in English, both written and verbal. Preferred Skills Have experiences on working with distributed HPC clusters: Ray, Kubernetes, Docker. Experience with fine-tuning LLM / Embed for downstream tasks. Experience with building, evaluating RAG systems.
Selected Technical Skills: Artificial Intelligence, Python
English mandatory
What do we offer you?
And many more advantages of being part of T-Systems!
If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!
T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.
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