Gen AI Engineer

Belgium | Sept. 18, 2026

Report as Closed

Company: LGA HR NV

Country: Belgium

Type: Onsite

Employment: Full-time

Description:

What are your responsibilities?

  • Responsible for and builds reliable, production-grade GenAI applications in Python or .NET.

  • You systematically evaluate and monitor GenAI workflows and agents.

  • Optimizes models and agents based on structured experiments and data analysis (not based on gut feeling).

  • Designs and implements solution architectures within an Azure cloud environment.

  • You focus strongly on the integration, scalability and maintainability of the applications.

  • Works with modern API integrations and LLM orchestration frameworks.

  • Translates complex AI capabilities into concrete improvements for business processes.

  • Communicates technical concepts in a clear manner to non-technical stakeholders.

  • You are a driving force behind change management: you bring colleagues along and ensure support during the AI transformation.

Who are you?

  • Education: You have a Master or PhD in Computer Science, Informatics or Commercial Engineering, with a strong focus on AI.

  • Technical expertise:

    • Excellent knowledge of Python (and/or .NET) for application development.

    • Experience with LLM orchestration frameworks (such as LangGraph, Microsoft Agent Framework).

    • Hands-on experience with tools for GenAI evaluation and monitoring (such as MLflow, Langfuse).

    • Good knowledge of Azure solution architecture and cloud deployments.

    • Strong understanding of RAG pipelines, vector databases and agentic patterns.

    • Familiar with MLOp's best practices and an iterative, data-driven approach.

    • Knowledge of the out-of-the-box possibilities of existing AI solutions (Claude, Copilot, n8n, etc.).

  • Soft skills: You are a communicative problem-solver with a continuous improvement mindset. You function excellently in cross-functional teams and continue to learn proactively in this rapidly changing domain.

  • Pros: Experience in an industrial or manufacturing environment, knowledge of enterprise systems (such as ERP or MES) and their integration patterns, or a background in a startup culture / AI transformation projects.

Apply here:

Web: Apply here

Emails:



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