AI Software Engineer - Semiconductor R&D | Python, GenAI & AI Agents
Qplox Engineering
Leuven, Belgium
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Cloud Computing
Databases
Information Engineering
Data Infrastructure
Data Integration
Python (Programming Language)
Machine Learning
Software Engineering
Software Organization
Large Language Models
+4 more
Software Application Programming
Generative AI
Information Technology
Programming Languages
Job description
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.
Requirements
- 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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