Generative AI Solutions Engineer
Tasks
- Build AI first data pipelines on Azure and Databricks
- Build AI-augmented development workflows
- Create best practices for validating AI output
- Design agentic workflows with tool orchestration
- Develop LLM powered GenAI applications
- Drive adoption through enablement documentation and standardization
- Ensure data privacy security and responsible AI compliance
- Evaluate and optimize model accuracy groundedness and latency
- Implement RAG and enterprise search
- Incorporate user feedback into improvement cycles
- Manage vector indexing and retrieval
- Process unstructured data for embeddings
- Translate business needs into AI and analytics solutions
Perks/Benefits
- Flexible hybrid working model
- Individual development plans
- Professional development plan
- Training opportunities
Skills/Tech-stack
AI Foundry | Agentic Workflows | Azure | Azure AI | Azure AI Foundry | CI/CD | Claude Code | Data Processing | Databricks | Embeddings | Enterprise Search | Git | GitHub Copilot | Language Models | Large Language Models | Prompt engineering | PySpark | Python | RAG | Unstructured Data | Unstructured Data Processing | Vector Databases | Vector indexing
Education
N/A
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