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# GenAI Engineer

- **Company:** Deceuninck
- **Location:** Hooglede, Belgium (Remote available)
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Microsoft Azure, Python (Programming Language), Software Engineering, Large Language Models, Generative AI, Kubernetes, Information Technology, Data Analytics, Nintex, Machine Learning Operations, Api Management
- **Published:** July 29, 2026
- **Apply:** https://www.adzuna.be/details/5678660732

## About the Role

* MSc or PhD in Computer Science, Informatics or Business Engineering with a focus on AI.

Technical Skills

 * Strong proficiency in Python (and/or .NET) for application development
 * Experience with LLM orchestration frameworks (LangGraph, Microsoft Agent Framework)
 * Hands-on experience with GenAI evaluation and monitoring tooling (MLflow, Langfuse)
 * Knowledge of Azure solution architecture and cloud deployment
 * Understanding of RAG pipelines, vector databases, and agentic patterns
 * Familiarity with MLOps best practices and a data-driven, iterative approach to model quality
 * Understanding of out-of-the-box capabilities of existing AI solutions (claude, copilot, n8n...)

Soft Skills

 * Strong communicator; able to translate technical concepts to business stakeholders
 * Problem-solver with a continuous improvement mindset
 * Comfortable working in cross-functional teams
 * Active learning mindset: stays current in a fast-evolving domain

Preferred Experience

 * Previous experience in an industrial or manufacturing environment
 * Exposure to enterprise systems (ERP, MES) and their integration patterns
 * Background in startup mindset or AI transformation initiatives

## Description

We are looking for an GenAI Engineer who can build generative AI applications that deliver real process value and ensures the organisation embraces them.
What are your responsibilities?

 * Build production-grade GenAI applications in Python or .NET
 * Systematically evaluate and monitor GenAI workflows and agents
 * Iterate on models and agents based on structured experiments, not intuition
 * Design and implement Azure-based solution architectures
 * Focus on integration, scalability and maintainability of applications
 * Work with modern API integrations and LLM orchestration frameworks
 * Translate AI capabilities into concrete process improvements
 * Communicate technical concepts clearly to non-technical stakeholders
 * Drive organisational change by bringing people along in the AI transformation


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- [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software)
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