AI/LLM Engineer (m/w/d)

Deutsche Telekom AG; Bonn; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading telecommunications company seeks an AI/LLM Engineer to join their AI Foundation Services team in Bonn. The role involves designing and implementing cutting-edge AI solutions, particularly focusing on Large Language Models and Retrieval-Augmented Generation systems. Applicants should have a strong background in Computer Science or Machine Learning, proficient in Python, and excellent problem-solving skills. This position also values communication capabilities in both English and German.

Qualifikationen

• Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow.
• Excellent communication skills in English and German (C1).
• Ability to integrate new AI systems with APIs and low latency backends.

Aufgaben

• Design, develop, and implement AI systems focused on large language models.
• Collaborate with teams to integrate AI solutions into existing systems.
• Monitor and improve model performance for accuracy and efficiency.

Kenntnisse

Problem-solving

Attention to detail

Python

Communication

Ausbildung

Education in Computer Science, Machine Learning, or a related field

Tools

Pytorch

Tensorflow

Ray

Kubernetes

Docker

Jobbeschreibung

As anAI/LLM Engineer (m/f/d) 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:

• 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

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