Scientific Programmer - GenAI

Main responsibilities 

• You will conduct assessments of current engineering processes and identify opportunities to integrate GenAI.
• You will develop and present methodological recommendations for generative AI solutions that enhance system and software design, development, and operational efficiency, while working in close collaboration with other research teams to deploy these techniques effectively in an industrial environment.
• You will investigate the development of digital engineering assistants, using Generative AI-based techniques. This will empower professionals to achieve faster data-to-insights in quality and knowledge management processes.
• You will develop proofs of concept to demonstrate the problem, prototype different scenarios for a solution, demonstrate the value, constraints and benefits of these solutions, and help bring them into industrial practice.
• You will provide expert guidance on generative AI best practices, tools, and methodologies to the engineering teams.
• You will monitor and evaluate the performance of GenAI implementations, offering insights for continuous improvement.

Requirements

• You have a degree in Computer Science, Engineering, Data Science or a related field.
• You have experience in at least one of the following Gen AI areas:
• • Retrieval-Augmented Generation (RAG) with hybrid and multimodal retrieval.
  • Agentic AI for autonomous reasoning.
  • Graph-based knowledge integration (GraphRAG).
  • Scalable deployment strategies for real-world applications.
• You have a strong understanding of system engineering principles and software development lifecycle.
• You are proficient in designing and implementing end-to-end AI applications, including infrastructure setup using Docker and cloud platforms (Databricks and Azure are an preferable).
• You have experience developing and maintaining Python-based code architectures while adhering to best practices.
• You have experience in designing and implementing evaluation frameworks for AI systems.
• You have effective communication and collaboration skills, with experience working in multidisciplinary teams and explaining complex AI concepts to various stakeholders.      

Please note that if you do not hear back from us within 10 days of your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually; however, due to a high volume of responses, it can be that we have not been able to reject your application in person.

We kindly request that recruitment agencies do not contact us regarding this vacancy. We are not seeking assistance and will not be liable for any fees or charges associated with unsolicited CVs or candidate introductions. Any candidates submitted by agencies without prior written agreement will be considered our direct applicants and may be employed without obligation or fee.