Your mission
As a (Senior) AI / Data Science Engineer (m/f/d), you will take on the design and implementation of innovative solutions in the field of Retrieval-Augmented Generation (RAG) to connect Large Language Models (LLMs) with current and dynamic data, revolutionizing the use of our market-leading BPM software for our clients. As a team player, you will be part of a motivated, international team and ready to take on and drive tasks independently.
Developing and implementing solutions in the field of Retrieval-Augmented Generation (RAG) to supply Large Language Models (LLMs) with current and dynamic data.
- Designing and building robust pipelines for data preparation, including data extraction, cleansing, transformation, and integration.
- Implementing efficient retrieval mechanisms (e.g., vector databases) to provide up-to-date information for LLMs.
- Optimizing interfaces between data sources and LLMs to integrate real-time data without extensive fine-tuning or retraining.
- Developing algorithms and workflows that enable LLMs to generate relevant, context-aware responses from dynamic data sources.
- Evaluating and enhancing the efficiency and accuracy of retrieval and data enrichment processes.
- Collaborating closely with software developers to bring innovative AI solutions into production.
- Documenting and monitoring pipelines and systems to ensure seamless operation and continuous optimization.
Your profile
- Data Preparation Expertise: Solid experience in data extraction, cleansing, and structuring from various sources (e.g., APIs, databases, documents).
- Practical Experience with Retrieval-Augmented Generation (RAG): Hands-on knowledge of RAG methodologies and working with vector databases.
- Proficiency with Large Language Models (LLMs): Familiarity with LLMs and their integration into production environments without extensive training or fine-tuning.
- Programming Skills: Strong proficiency in Python or Java.
- Database and Search Technology Knowledge: Understanding of relational and NoSQL databases as well as search technologies (e.g., Elasticsearch).
- Scalable Systems Development: Experience in designing scalable systems and services, preferably in cloud environments (e.g., AWS, Google Cloud, Azure).
- Unstructured Data Processing: Familiarity with methods for processing unstructured data (e.g., document processing, text mining, NLP).
- Very good skills in English (C1 level), good in German
Why us?
- Challenging tasks in a modern software development process in agile, international, self-organised teams (Bochum & Spain)
- Support for personal development through internal, external or online training (e.g. Udemy) and participation in conferences
- A secure job with a wide range of development opportunities
- An attractive salary model and social benefits (VWL, BaV, bike leasing, corporate benefits, etc.)
- Teamwork with a high level of knowledge transfer
- Flat hierarchies, a highly motivated working environment and an open and fair corporate culture
- Modern, high-performance working environment and work equipment as well as home office/remote option
- Attractive office building with gym and football pitch as well as free drinks round off the offer
Your contact persons
We look forward to receiving your detailed application stating your earliest possible starting date and your salary expectations via this link or alternatively to recruiting@gbtec.com. If you have any questions, please contact Mrs Ellen Tenkamp, Teamlead Recruiting, on 0234 97645-157.
At GBTEC you will be part of a motivated and smart team. As one of the fastest growing companies in the Ruhr region and one of the leading specialists for digital transformation, we offer you optimal career opportunities and further development possibilities. We are convinced that the combination of free development opportunities, passion and teamwork leads to innovative excellence. At GBTEC, we support our national and international customers with in-depth expertise and unique products in all areas of digital transformation.
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.
