Offer summary

Qualifications:

Degree in Computer Science, Machine Learning, or a related field., Strong problem-solving skills and attention to detail., Proficiency in Python and experience with AI frameworks like Transformers, PyTorch, and TensorFlow., Experience with LLMs and RAG frameworks such as Llama-Index and LangChain..

Key responsabilities:

Design, develop, and implement AI systems with a focus on LLMs.

Integrate AI solutions into existing systems and processes.

Conduct research to explore new techniques in AI and machine learning.

Analyze large datasets to identify trends and improve model performance.

Job description

Are you in? Apply!

WHAT TASKS AWAIT YOU?

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.

We are looking for an AI/LLM Engineer to join our AI Foundation Services team. In this role, you will develop secure and compliant AI solutions, focusing on:

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Custom AI solutions for industries like healthcare, public sector, and automotive

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.

Responsibilities

Design, develop, and implement AI systems, particularly focusing on LLMs.
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 for model development.
Monitor and improve model performance to ensure accuracy and efficiency.
Communicate technical concepts effectively to both technical and non-technical stakeholders.

Qualifications

Degree in Computer Science, Machine Learning, or a related field.
Strong problem-solving skills and attention to detail.
Proficiency in Python and strong programming skills.
Experience with LLMs and AI frameworks: Transformers, PyTorch, TensorFlow.
Experience with RAG frameworks: Llama-Index, LangChain.
Ability to integrate AI systems with APIs, low-latency backends, and production deployment.
Ability to quickly grasp new AI concepts, conduct experiments, and propose system improvements.
Excellent English communication skills (both written and verbal).