AI/LLM Engineer (m/w/d)

T Business; Nordrhein-Westfalen; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An innovative company is seeking an AI/LLM Engineer to join their AI Foundation Services team. In this role, you will design and develop cutting-edge AI solutions, particularly focusing on Large Language Models and Retrieval-Augmented Generation systems. You will collaborate with cross-functional teams, conduct research on new AI techniques, and analyze large datasets to enhance model performance. This position offers the opportunity to work at the forefront of AI technology, allowing you to make a significant impact in a dynamic and supportive environment that values creativity and technical expertise.

Qualifikationen

• Proficiency in Python and strong programming skills.
• Experience with LLMs and AI frameworks like Transformers and Pytorch.

Aufgaben

• Design and implement AI systems focusing on large language models.
• Collaborate with teams to integrate AI solutions into existing systems.

Kenntnisse

Python

Problem-solving Skills

Attention to Detail

Communication Skills

Ausbildung

Education in Computer Science

Education in Machine Learning

Tools

Transformers

Pytorch

Tensorflow

Llama-index

LangChain

Ray

Kubernetes

Docker

Jobbeschreibung

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

1. Design, develop, and implement end to end AI systems, particularly focusing on large language models (LLMs).
2. Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.
3. Conduct research to explore new techniques and technologies in AI and machine learning.
4. Analyze large datasets to identify trends and insights that inform model development.
5. Continuously monitor and improve model performance to ensure accuracy and efficiency.
6. Communicate technical concepts effectively to both technical and non-technical stakeholders.

Qualifications

1. Education in Computer Science, Machine Learning, or a related field.
2. Excellent problem-solving skills and attention to detail.
3. Proficiency in Python and strong programming skills.
4. Experience with LLMs and AI frameworks: Transformers, Pytorch / Tensorflow as well as RAG frameworks: Llama-index / LangChain.
5. Ability to integrate new functional AI systems with APIs, low latency backends and production deployment.
6. Quickly grasp new AI concepts from papers and blogs, conduct experiments, and propose system improvements.
7. Excellent communication skills in English, both written and verbal.

Nice-to-Have

1. Have experiences on working with distributed HPC clusters: Ray, Kubernetes, Docker.
2. Experience with fine-tuning LLM / Embed for downstream tasks.
3. Experience with building, evaluating RAG systems.

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