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# AI Engineer - LLMOps & Azure

- **Company:** Pauwels Consulting
- **Location:** Brussel, Belgium
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Business Systems, Python (Programming Language), OpenAI, Enterprise Search, Data Ingestion, Retrieval-Augmented Generation, Prompt Engineering, Agentic-AI, Containerization, AI Platforms, Azure AKS, Machine Learning Operations, Terraform, Api Management, Databricks
- **Published:** November 13, 2026
- **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/OGQwMzliNmYtOGYyMi00NWI4LWE1YTYtYzNlZGE5NDQ1MjA5IDM?lang=en

## About the Role

* 3+ years of experience in AI development using Python and LangChain.
 * 3+ years of experience with Azure services, specifically Azure OpenAI, Azure AI Search, and Azure API Management.
 * 3+ years of experience managing containerized environments using Azure Kubernetes Service (AKS).
 * 3+ years of experience in Infrastructure as Code with Terraform and Helm.
 * Proven track record of operating RAG systems or AI agents in a production setting.
 * Hands-on experience with MLflow, Databricks, or OpenTelemetry for monitoring and tracing.
 * Practical knowledge of Azure DevOps for CI/CD pipeline management.
 * Experience with Vector databases and data ingestion workflows.
 * Proactive and analytical approach to troubleshooting complex technical issues.
 * You are fluent in English with a level of Native Dutch or Native French.

Nice to Haves

 * Experience with data protection impact assessments and access control logic.
 * Understanding of prompt engineering best practices for production reliability.

## Description

* Monitor production AI services for availability and latency while managing incident root-cause analysis and resolution.
 * Maintain evaluation sets and track answer quality to detect and mitigate performance regressions.
 * Operate ingestion pipelines and manage the integration of new content sources and business domains.
 * Oversee agent interactions and monitor tool calls to ensure seamless integration with business systems.
 * Manage model version upgrades and configuration changes through validated deployment pipelines.
 * Track token consumption and service costs to propose architectural and operational optimizations.
 * Maintain infrastructure consistency using Terraform and Helm across multiple environments.