AI Software Engineer

Location : Luxembourg

Languages : English

• Architect, develop, and deploy AI-driven applications and autonomous agents using Azure AI Foundry.
• Utilize Azure AI SDKs (Python, C#, TypeScript/Java, etc.) to integrate models, prompts, and workflows into enterprise applications.
• Apply Foundry features including:
• Model Catalog – select, evaluate, and fine-tune models.
• Prompt Flow – design, test, and chain prompts for LLMs.
• Playground – rapid prototyping and experimentation.
• Agentic Frameworks – orchestrate multi-agent workflows and API/data integration.
• Collaborate with cross-functional teams to build AI system architectures balancing scalability, performance, and governance.
• Ensure best practices for model grounding, observability, security, and evaluation are applied.
• Connect AI services with Azure components such as Key Vault, Storage, Cognitive Search, and Application Insights.
• Participate in code reviews, automated testing, and documentation to maintain high-quality deliverables.
• Stay informed on new developments in AI/LLMs, Microsoft AI, and enterprise AI best practices.

Profile

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 3+ years of professional software engineering experience, including hands-on AI/ML projects.
• Proficiency in one or more languages: Python, C#, TypeScript/JavaScript, or Java.
• Practical experience with Azure AI Foundry.
• Strong understanding of LLM orchestration, prompt engineering, and model evaluation.
• Experience with REST APIs, cloud-native applications, and microservices.
• Familiarity with GitHub, DevOps pipelines, and CI/CD methodologies.
• Awareness of security, compliance, and governance standards in enterprise AI.
• Ability to balance experimental prototyping with production-grade implementation.
• Excellent analytical, problem-solving, and communication skills.
• Experience building multi-agent systems and AI workflows.
• Knowledge of MLOps, data pipelines, and model fine-tuning on Azure.
• Familiarity with Copilot Studio or custom Copilot solutions.
• Experience in Agile/Scrum environments.
• Relevant certifications (preferred but not required):
• Microsoft Azure AI Engineer Associate
• Microsoft Azure Developer Associate
• Microsoft Azure Data Scientist Associate
• Microsoft Azure Solutions Architect Expert
• Azure Fundamentals (AZ-900)
• Other platform-specific generative AI certifications

Interested in this opportunity? Feel free to apply or send us your updated CV at [email protected] and [email protected]