LLM Engineer - AI/ML

T-Systems is at the forefront of innovation, delivering cutting-edge AI solutions across various industries, including automotive, healthcare, and public transportation. Our core AI team is dedicated to developing transformative technologies that drive efficiency and create value for our internal projects and clients. We are committed to fostering a collaborative environment where creativity and expertise thrive.

Job Title: AI/LLM Engineer

Employment Type: Full-time

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

• Experience: 3+ Years
• 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. FastAPI/Flask, Microservices,
• 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.

Additional Information

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