Generative AI Research Engineer

Role

You will conduct applied research and develop methodologies and tools to integrate Generative AI into system and software engineering. Your work focuses on developing digital engineering assistants and accelerating data-to-insight workflows in quality and knowledge management. You will create proofs of concept, prototype solution scenarios, demonstrate value and constraints, and support translation of solutions into industrial practice.

Key responsibilities

• Applied research: Design and execute research to explore Generative AI (Large Language Models) applications in engineering processes.
• Methodology & tooling: Develop methodological recommendations and tools for AI integration in system and software design, development, and operations.
• Prototyping & demonstrations: Build proofs of concept and prototypes to demonstrate benefits, constraints, and value of proposed solutions.
• Deployment support: Collaborate with teams to deploy Generative AI solutions in industrial environments and ensure alignment with project objectives.
• Monitoring & evaluation: Measure performance of implementations and provide insights for continuous improvement.
• Knowledge transfer: Communicate findings, best practices, and practical guidelines to engineering teams.

What we expect from you

• Passion for Generative AI: Strong interest in leveraging Large Language Models to transform system and software engineering.
• Process assessment: Ability to analyze current engineering processes and identify opportunities for AI integration.
• Methodological expertise: Capability to develop and present actionable methodological recommendations for Generative AI solutions.
• Collaboration: Experience working with multidisciplinary teams to implement and align AI technologies with project goals.
• Advisory skills: Provide expert guidance on Generative AI best practices, tools, and methodologies.
• Continuous learning: Keep up-to-date with emerging Generative AI trends and assess their potential impact on projects.

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

Vul je gegevens hieronder in, dan nemen we binnen 2 uur contact met je op om samen te kijken of er een match is. Heb je nog vragen? Bel ons op 030-249 66 96 of stuur een e-mail naar We helpen je graag verder!