Experience:

• 4+ years of hands-on AI/ML engineering experience

Responsibilities:

• Build LLM applications and copilots using Azure OpenAI, Copilot Studio, and custom frameworks
• Develop RAG systems with vector search for internal knowledge and document intelligence tools
• Integrate AI capabilities into existing systems such as SAP, Dynamics 365, and internal APIs
• Implement scalable AI architectures on Azure including Azure ML, AI Services, Functions, and Container Apps
• Collaborate with internal teams to translate business needs into AI features and prototypes
• Apply responsible AI, security, and MLOps best practices

Nice to have:

• Experience with LangChain, LangGraph, or multi-agent systems
• Azure AI or Data certifications

More skills:

AI Search, RAG patterns, APIs, Kubernetes

Other:

• Home-office opportunities: 3 days of home office per week
• Flexible working on your own terms
• Performance bonuses
• Benefits including cafeteria package, private health insurance, housing allowance, car sharing, and more
• Extra loyalty holiday
• Professional working proficiency in English
• Strong problem-solving, communication, and collaboration skills