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.
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