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AI Software Engineer – Semiconductor R&D | Python, GenAI & AI Agents

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Onsite

AI Software Engineer – Semiconductor R&D | Python, GenAI & AI Agents

Qplox engineering

AI Software Engineer – Semiconductor R&D | Python, GenAI & AI Agents

Skills

Data EngineeringPythonData ScienceRData AnalysisMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Leuven, Belgium

Work mode:

Onsite

Published on:

21 September 2026

What they need


Build the software and AI solutions shaping the future of semiconductor R&D and manufacturing.

We are looking for an AI & Software Solutions Engineer to join a semiconductor R&D environment and develop production-quality software, data solutions and AI-powered applications that help engineering teams work smarter and faster.

In this role, you will work at the intersection of software engineering, AI, data and semiconductor manufacturing , contributing to the evolution of a Manufacturing Execution System and the broader R&D software ecosystem.

What you’ll do

  • Develop scalable software applications, services and automation solutions for semiconductor R&D and manufacturing.
  • Contribute to the evolution of MES platforms and tools supporting process-flow definition, execution and reporting.
  • Build applications and services on top of an enterprise R&D Data Platform .
  • Design and implement AI agents, copilots and GenAI solutions that support engineering teams.
  • Apply technologies such as LLMs, RAG, machine learning and advanced analytics to real-world engineering challenges.
  • Develop APIs, data integrations and cloud-based solutions following modern software engineering practices.
  • Collaborate closely with software engineers, data specialists and semiconductor process engineers.

What you bring

  • Master’s degree in Computer Science, Software Engineering, AI, Data Science or a related discipline.
  • 4–8 years of relevant experience in software engineering, AI/ML, data engineering or a related field.
  • Strong experience developing production-quality software .
  • Excellent Python skills or strong experience with a comparable programming language.
  • Practical experience with Generative AI, LLMs, AI agents, RAG, machine learning or advanced analytics .
  • Knowledge of databases, APIs, cloud technologies and data engineering .
  • Strong understanding of modern software development practices.
  • Fluent English , both written and spoken.

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