Senior AI Solutions Entwickler:in
Tasks
- Build LLM based agentic RAG systems
- Create MLOps workflows
- Define business requirements and roadmaps
- Deliver AI solution workshops
- Design AI architecture with clients
- Develop AI evaluation pipelines
- Develop best practices for AI architectures
- Implement observability with logging and tracing
- Integrate vector databases
- Optimize models and enable enterprise AI integration
- Provide customer AI technical guidance
- Research AI trends and create AI content
Perks/Benefits
- Additional paid time off
- Employee assistance program
- Flexible working hours
- Home office
- Sabbatical options
- Training and development
- Travel for workshops
- Wellness benefits
Skills/Tech-stack
AI Foundry | AI architecture | Agent SDK | Azure AI Foundry | DeepAgents | Enterprise AI | LLM | Langfuse | Langgraph | Langsmith | Logging | MLOps | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Microsoft Semantic Kernel | Model Optimization | Observability | OpenAI API | OpenAI Agent | OpenAI Agent SDK | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Software Architecture | Tracing | TypeScript | Vector Databases
Education
N/A
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