AI Engineer
Tasks
- Apply security identity and observability practices
- Automate build deployment and analysis with Azure DevOps pipelines
- Build AI agents using Azure OpenAI
- Build knowledge bases and retrieval layers
- Design AI powered applications on Azure AI stack
- Develop RAG pipelines
- Document architectures patterns and decisions
- Implement AI output evaluation using test datasets and quality metrics
- Implement agent orchestration and tool function calling
- Integrate LLM capabilities into APIs and services
- Work with client teams in Agile Scrum
Perks/Benefits
- Access to online training platform
- Childcare support
- Dental care
- Flexible working hours
- Hybrid work
- Meal vouchers
- Permanent contract
- Private health insurance
- Public transport mobility support
- Training budget
Skills/Tech-stack
.NET | AI Foundry | AI Search | APIs | Agent Framework | Agile | App Service | Azure | 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 | GitHub | LLM orchestration | Microsoft Agent | Microsoft Agent Framework | Microsoft Entra | Microsoft Entra ID | RAG | Scrum | Semantic Kernel | Tool-Calling | Vector Stores | Vector embeddings
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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