AI Engineer (Semantic Kernel/Microsoft Agent Framework)
Tasks
- Apply enterprise security and identity for AI workloads
- Automate build and deployment with Azure DevOps
- Build agent orchestration and RAG pipelines
- Build knowledge bases and retrieval layers
- Collaborate with client teams in Agile Scrum
- Design AI powered applications and agents on Azure
- Document architectures patterns and decisions
- Evaluate AI outputs with quality metrics and prompt iteration
- Implement tool and function calling
- Integrate LLM capabilities into enterprise APIs
Perks/Benefits
- Childcare support
- Dental care
- Flexible working hours
- Hybrid work
- Meal vouchers
- Private health insurance
- Public transport mobility support
- Shorter Fridays
- Summer hours
- Training budget
- Udemy Business platform
Skills/Tech-stack
.NET | AI Foundry | AI Search | Agile | App Service | Azure AI | Azure AI Foundry | Azure AI Search | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure OpenAI | C# | Entra ID | Event Driven | Event-driven architecture | Function Calling | GitHub Copilot | Language Models | Large Language Models | Microsoft Entra | Microsoft Entra ID | Networking | Observability | Prompt engineering | RAG | REST APIs | Scrum | Semantic Kernel | Tool-Calling | Vector Stores
Education
N/A
Roles
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