Generative AI Research Engineer

Randstad - Netherlands; Eindhoven; On-site; EUR 60,000 - 90,000; Full time

Job summary

ESI, a leading research group within the Netherlands Organization for Applied Scientific Research (TNO), invites a specialist to advance generative AI in high-tech systems engineering.

The role focuses on applied research, developing AI integration methodologies, and proving concepts with industry partners in an industrial setting. You will collaborate with cross-disciplinary teams to prototype solutions and support deployment in real-world processes.

Qualifications

• Master's degree in Computer Science, Engineering, or Data Science.
• Expertise in Generative AI areas listed in the role description.
• Experience with AI system evaluation frameworks.

Responsibilities

• Assess current engineering processes and identify AI integration opportunities.
• Develop methodological recommendations for AI solutions in design, development, and operations.
• Collaborate with teams to implement Generative AI technologies aligned to objectives.
• Provide guidance on AI best practices, tools, and methodologies.
• Monitor performance and provide insights for continuous improvement.
• Stay updated on Generative AI trends and assess impact on projects.

Skills

Generative AI

LLMs

Systems engineering

Python

Team collaboration

Education

Master's degree in CS/Engineering/Data Science

Tools

Docker

Databricks

Azure

Job description

ESI is a leading research group within the Netherlands Organization for Applied Scientific Research(TNO). It contributes to societal prosperity and well-being by advancing the high-tech sector andembedded systems engineering through a multidisciplinary approach, a robust shared researchprogram, dedicated innovation support services, and a focused competence development program. Its primary mission is to raise high-tech and embedded system engineering from a craft to ascientifically grounded discipline. ESI collaborates with global technology leaders on research programs that address challenges in thedesign, diagnostics, and maintenance of complex high-tech systems. Our research programs aretailored to address a variety of application domains, including microelectronics manufacturing,medical imaging, industrial printing solutions, and safety & security. Engineering processes in thesedomains are typically characterized by multidisciplinary enabling technologies that increasinglyintegrate intelligent solutions. Our success lies in delivering high-impact methods, techniques, andtools that accelerate innovation in engineering processes across industry and societal applications.

Job Description

You will have the unique opportunity to raise systems engineering competencies in the high-techindustry to a higher level, building on the knowledge and insights generated through research projectswith our industry partners (ASML, Canon, Philips, and Vanderlande). This role embraces the principleof “industry as a lab,” meaning research is conducted in close collaboration with leading companiesto ensure practical relevance and real-world impact. This role involves conducting applied research, developing methodologies and tools for AI integration,and working closely with our research teams to deploy these technologies effectively in an industrialenvironment. Your work will be in the research line System Architecting and EngineeringMethodologies, investigating the development of digital engineering assistants, using Generative AI-based techniques. This program addresses the challenge of knowledge personnel scarcity byleveraging recent advancements in Generative AI to empower professionals to achieve faster data-to-insights in quality and knowledge management processes. The work consists of developing proofs of concept to demonstrate the problem, prototyping differentscenarios for solution, demonstrating the value, constraints, and benefits of these solutions, andhelping bring them into industrial practice.

Function Requirements

• You are deeply passionate about leveraging generative AI (Large Language Models) to revolutionize system and software engineering.
• You can conduct assessments of current engineering processes and identify opportunitiesfor generative AI integration.
• You can develop and present methodological recommendations for generative AI solutionsthat enhance system and software design, development, and operational efficiency.
• You collaborate with different teams to implement generative AI technologies, ensuringalignment with project objectives and timelines.
• You provide expert guidance on generative AI best practices, tools, and methodologies toengineering teams.
• You monitor and evaluate the performance of generative AI implementations, offeringinsights for continuous improvement.
• You stay abreast of emerging generative AI trends and technologies, assessingtheirpotential impact on future projects.

Functie-eisen

What you bring:

• Degree in Computer Science, Engineering, Data Science, or a related field. (Master)
• Proven expertise in one or more of the following cutting-edge Generative AI areas: Retrieval-Augmented Generation (RAG) with hybrid and multimodal retrieval, Agentic AI forautonomous reasoning, graph-based knowledge integration (GraphRAG), and scalabledeployment strategies for real-world applications.
• Strong understanding of system engineering principles and software development life cycles.
• Proficiency in designing and implementing end-to-end AI applications, includinginfrastructure setup using Docker and cloud platforms (Databricks and Azure experiencepreferred).
• Experience in developing and maintaining Python-based code architectures while adheringto best practices.
• Experience in designing and implementing evaluation frameworks for AI systems.
• Effective communication and collaboration abilities, with demonstrated experience workingin multidisciplinary teams and explaining complex AI concepts to various stakeholders