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