Bochum Senior AI / Data Science Engineer (m/f/d)

As a (Senior) AI / Data Science Engineer (m/f/d), you will be responsible for designing and implementing innovative solutions in Retrieval-Augmented Generation (RAG) to connect Large Language Models (LLMs) with current and dynamic data, enhancing our market-leading BPM software for clients. You will work as part of a motivated, international team, driving tasks independently while contributing to a collaborative environment.

Responsibilities

• Design and build robust data preparation pipelines, including extraction, cleansing, transformation, and integration.
• Implement efficient retrieval mechanisms (e.g., vector databases) to supply up‑to‑date information to LLMs.
• Optimize interfaces between data sources and LLMs to enable real‑time data integration without extensive fine‑tuning.
• Develop algorithms and workflows that allow LLMs to generate context‑aware responses from dynamic data sources.
• Evaluate and enhance the efficiency and accuracy of retrieval and data enrichment processes.
• Collaborate closely with software developers to bring AI solutions into production.
• Document and monitor pipelines and systems to ensure seamless operation and continuous optimization.

Your profile

• Solid experience in data extraction, cleansing, and structuring from various sources (e.g., APIs, databases, documents).
• Hands‑on knowledge of Retrieval-Augmented Generation (RAG) and vector database technologies.
• Familiarity with Large Language Models (LLMs) and their production‑level integration without extensive retraining.
• Strong proficiency in Python or Java.
• Understanding of relational and NoSQL databases as well as search technologies (e.g., Elasticsearch).
• Experience designing scalable systems and services, preferably in cloud environments (AWS, Google Cloud, Azure).
• Familiarity with processing unstructured data (e.g., document processing, text mining, NLP).
• Very good English language skills (C1 level) and proficiency in German (good).

Why us?

• Challenging tasks in a modern, agile, international and self‑organised work environment.
• Support for personal development through internal, external, or online training (e.g., Udemy) and conference participation.
• Secure employment with a wide range of development opportunities.
• Attractive salary model and social benefits (VWL, BaV, bike leasing, corporate benefits, etc.).
• Teamwork with a high level of knowledge transfer.
• Flat hierarchies, highly motivated workforce, and an open, fair corporate culture.
• Modern, high‑performance working environment and equipment, with home‑office/remote option.
• Office building with gym, football pitch, and free drinks.
• Regular personal training sessions in the gym.

Your contact persons

We look forward to receiving your detailed application, stating your earliest possible starting date and salary expectations, via this link or alternatively by email at . If you have any questions, please contact Mrs. Ellen Tenkamp, Teamlead Recruiting, at ‑157.

GBTEC stands for living diversity and therefore values all applications, regardless of nationality, ethnic and/or social origin, gender, religion or ideology, disability, age or sexual identity.