Scientific Programmer - GenAI

Bedrijfsomschrijving

TNO is an independent research organisation that makes science practically applicable. The organisation connects people and knowledge to create innovations that strengthen the competitiveness of businesses and the well-being of society. As a non-profit organisation, TNO works for both the business sector and the government. The focus is on solving societal challenges in areas such as sustainability, digitisation, and security.

You will have the unique opportunity to raise systems engineering competencies in the high-tech industry to a higher level, building on the knowledge and insights generated through research projects with our industry partners (ASML, Canon, Philips, and Vanderlande). This role embraces the principle of “industry as a lab,” meaning research is conducted in close collaboration with leading companies to 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 industrial environment. Your work will be in the research line System Architecting and Engineering Methodologies, investigating the development of digital engineering assistants, using Generative AI-based techniques. This program addresses the challenge of knowledge personnel scarcity by leveraging 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 different scenarios for solution, demonstrating the value, constraints, and benefits of these solutions, and helping bring them into industrial practice.

• Degree in Computer Science, Engineering, Data Science, or a related field.
• 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 for autonomous reasoning, graph-based knowledge integration (GraphRAG), and scalable deployment 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, including infrastructure setup using Docker and cloud platforms (Databricks and Azure experience preferred).
• Experience in developing and maintaining Python-based code architectures while adhering to best practices.
• Experience in designing and implementing evaluation frameworks for AI systems.
• Effective communication and collaboration abilities, with demonstrated experience working in multidisciplinary teams and explaining complex AI concepts to various stakeholders.

In addition:

• 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 opportunities for generative AI integration.
• You can develop and present methodological recommendations for generative AI solutions that enhance system and software design, development, and operational efficiency.
• You collaborate with different teams to implement generative AI technologies, ensuring alignment with project objectives and timelines.
• You provide expert guidance on generative AI best practices, tools, and methodologies to engineering teams.
• You monitor and evaluate the performance of generative AI implementations, offering insights for continuous improvement.
• You stay abreast of emerging generative AI trends and technologies, assessing their potential impact on future projects

• An excellent salary with a maximum of €6.800 per month;
• A contract for the duration of the assignment, with the aim of progressing to a permanent contract;
• A thirteenth month salary or comparable bonus scheme;
• 8.33% holiday allowance;
• 25 vacation days per year based on 40 hours;
• An attractive Pension Plus scheme.
• Other Employment Conditions:
• Travel and home working allowance;
• Net €750,- to set up your home workspace;
• Training courses through the Randstad Digital Academy with recognized certificates;
• Referral bonuses up to a maximum of € 1,500,- ;
• Collective benefits on insurances and employee discount shop;
• Fixed HR contact person and personal guidance by a talent manager;
• Knowledge & networking events tailored to expertise within the IT field and your career development.

This assignment is also open to secondment (suppliers). Self-employed persons (ZZP) are not allowed. Are you a self-employed person and open to a project contract? We would be happy to discuss the possibilities with you!