Introduction
As an intern, you are part of the Robust Design / Reliability Department. This internship is intended to reduce the effort required for data extraction and summarization, while enabling engineers to make faster and more informed reliability-critical decisions. This assignment aims to develop an agent-based retrieval-augmented generation (RAG) framework for enterprise knowledge access, capable of operating across multiple SQL tables, relational data structures, and a knowledge graph. Through dynamic agent-based decision-making, the system can identify the most relevant source, determine the optimal retrieval sequence, and combine structured and graph-based context to generate grounded, explainable, and context-aware responses.
Your assignment
During this internship, you will explore advanced retrieval and reasoning techniques for enterprise knowledge systems. You will investigate how intelligent agents can retrieve information from multiple structured data sources and knowledge graphs while improving answer quality and reducing hallucinations. The outcome of this assignment will support the development of scalable and robust AI solutions for industrial use. Your main responsibilities will be:
- Investigate retrieval and reasoning methods across multiple relational data sources and knowledge graphs
- Evaluate different approaches for intelligent source selection and retrieval planning
- Measure retrieval efficiency, answer quality, and hallucination reduction using defined evaluation methods
- Design, develop, and improve a scalable agent-based retrieval-augmented generation architecture
- Validate the robustness and industrial applicability of proposed solutions
- Document findings, experiments, and implementation details in a reproducible manner
- Deliver a well-structured code repository and supporting technical documentation
This is a final-year bachelor or master internship for a minimum of 5 months, minimum 4 days per week (3 days on-site). The start date of this internship is as of February 2027, although an earlier start date is possible.
Your profile
To be suitable for the internship, you:
- Are pursuing a bachelor's (final year) or master’s degree in computer science, artificial intelligence, data science, software engineering, or a related field
- Have experience with Python and SQL programming
- Have knowledge of machine learning, large language models, information retrieval, or knowledge-based systems
- Are analytical and able to translate research questions into practical solutions
- Are proactive and comfortable working independently while collaborating with stakeholders
- Have experience with software development and scientific experimentation
As an intern, you will gain hands-on experience at the intersection of AI research and industrial application. You will work in a collaborative environment where innovation, learning, and continuous improvement are encouraged.
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
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