> Markdown version of [/jobs/ext/3131599-ai-software-solutions-engineer-semiconductor](https://www.wearedevelopers.com/jobs/ext/3131599-ai-software-solutions-engineer-semiconductor). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI & Software Solutions Engineer | Semiconductor

- **Company:** Capgemini
- **Location:** Diegem (Machelen), Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Databases, Information Engineering, Data Infrastructure, Python (Programming Language), Machine Learning, Software Maintenance, Software Engineering, Software Systems, Large Language Models, Generative AI, Information Technology
- **Published:** September 29, 2026
- **Apply:** https://www.capgemini.com/jobs/566578-en_GB_SAPBTP/x/

## About the Role

* You hold a master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related discipline.
 * 4 to 8 years of hands-on experience in a similar role.
 * You are a strong software developer, proficient in Python or a comparable language, and comfortable working with databases, APIs, cloud platforms and data engineering concepts.
 * You have solid experience working with AI technologies such as large language models, AI agents, RAG pipelines, machine learning or advanced analytics, and are eager to apply these in a complex industrial context.
 * You communicate with confidence and clarity, with fluency in written and spoken English, and thrive in collaborative, international engineering environments.
 * You bring a problem-solving mindset, take ownership of your work, and are motivated by delivering high-quality solutions that make a real difference in engineering operations.

## Description

* Developing and maintaining software solutions that enhance the efficiency of semiconductor R&D and manufacturing activities, contributing to the evolution of a Manufacturing Execution System (MES) platform and its surrounding ecosystem.
 * Building production-quality applications, services and APIs on top of an enterprise R&D Data Platform, leveraging cloud technologies and modern data engineering practices.
 * Designing and implementing AI-enabled solutions, including AI agents, copilots and automation tools that support and empower engineering teams in their day-to-day workflows.
 * Creating tools that streamline process flow definition, process execution, reporting and cross-functional engineering collaboration.
 * Applying your expertise in large language models, retrieval-augmented generation (RAG), machine learning or advanced analytics to deliver impactful, scalable solutions.