Senior AI Engineer
Tasks
- Apply prompt engineering and system prompts
- Build agent architectures with tools routing and memory
- Build production machine learning models
- Chunk documents for retrieval
- Connect multiple agents
- Create embeddings solutions
- Design retrieval-augmented generation systems
- Develop model deployment workflows
- Implement AI architecture with RAG fine tuning and agents
- Implement data to feature pipelines
- Integrate AI copilots
- Maintain AI solutions
- Select and evaluate models for performance and cost
- Set up model monitoring
Perks/Benefits
Skills/Tech-stack
AI Services | Agent Design | Agentic Systems | Apache Spark | Azure AI | Azure AI Services | Azure Functions | Chunking | Databricks | Embeddings | Event Driven | Event-driven architecture | Fine Tuning | MLlib | Memory | Microsoft Foundry | Model selection | OpenAI | Prompt engineering | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | Routing | Scikit-learn | Streaming Data | System prompts | TensorFlow | Tools
Education
N/A
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