AI/LLM Engineer (m/w/d)

About the Role:

As an AI/LLM Engineer in our AI Foundation Services team, you will support the development of secure and compliant AI solutions with a focus on Large Language Models and Retrieval-Augmented Generation systems.

Your responsibilities:

• 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 and German, both written and verbal (C1).

Nice-to-Have:

• Experience working with distributed HPC clusters: Ray, Kubernetes, Docker.
• Experience with fine-tuning LLM / Embed for downstream tasks.
• Experience with building and evaluating RAG systems.

In case of equal qualification, disabled candidates will be considered preferentially.