Senior Full Stack AI Engineer (Azure/.NET) (Belgium based only) - Freelance - Freelance

For one of my clients in Brussels, I am looking for a Senior Full Stack AI Engineer to join a software engineering team building and scaling AI-powered business applications in production.

This role requires a strong software engineering background, combining Full Stack Development, .NET, Cloud Engineering, DevOps and Generative AI expertise.

💡 Required Expertise

Software Engineering

• Strong hands-on experience in Full Stack Development

• Excellent knowledge of C# / .NET

• Experience building and maintaining enterprise-grade applications

• REST APIs, microservices and distributed architectures

• Front-end development experience (React, Angular or similar)

Cloud & DevOps

• Azure Cloud

• Azure DevOps

• CI/CD pipelines

• Docker & Kubernetes

• Infrastructure as Code

• Monitoring, observability and production support

AI Engineering

• Generative AI, LLMs and RAG

• Agentic AI and AI Assistants

• MCP, A2A, tool calling

• AI evaluation, monitoring and governance

• Building and deploying AI applications in production environments

Programming

• C#/.NET

• Python

• SQL

🚀 Microsoft AI Stack

• Azure AI Foundry

• Azure OpenAI

• Azure AI Search

• Semantic Kernel

• Microsoft Agent Framework

• Microsoft 365 Agents SDK

🎯 Your Responsibilities

• Design, develop and maintain full-stack AI-powered applications

• Build backend services and APIs using .NET

• Develop front-end components and user-facing AI experiences

• Design and implement RAG architectures and AI agent solutions

• Deploy, monitor and scale applications on Azure

• Build and maintain DevOps and CI/CD pipelines

• Collaborate with architects, developers, AI specialists and business stakeholders

• Drive end-to-end delivery, from solution design to production deployment

⭐ Ideal Profile

We're looking for someone who combines:

✅ Strong Full Stack Development experience

✅ Proven expertise in C#/.NET

✅ Hands-on Azure & DevOps background

✅ Experience building production-grade AI applications

✅ Ability to work across the entire software lifecycle, from architecture and development to deployment and operations