Senior AI Engineer
Tasks
- Build agent systems with tools routing and memory
- Build production AI models
- Connect multiple agents
- Create prompts and system prompts
- Deploy machine learning models
- Design AI architecture for RAG fine tuning and agents
- Design data feature and model pipelines
- Develop embedding and retrieval workflows
- Implement chunking strategies
- Implement retrieval-augmented generation
- Maintain AI solutions
- Monitor model performance
- Select and optimize models for cost and performance
Perks/Benefits
Skills/Tech-stack
AI Services | Agent Design | Azure AI | Azure AI Services | Azure Databricks | Chunking | Databricks | Embeddings | MLlib | Model Monitoring | OpenAI embeddings | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | System prompts | TensorFlow
Education
N/A
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