Generative AI Solutions Engineer
Tasks
- Build AI-augmented development workflows
- Create AI first data pipelines
- Create embeddings and vector indexing
- Deploy LLM code generation with validation
- Develop LLM powered GenAI applications
- Drive adoption with enablement documentation standardization
- Ensure data privacy security responsible AI compliance
- Evaluate AI solutions accuracy groundedness latency
- Implement RAG enterprise search agentic workflows
- Optimize solutions using user feedback
- Process unstructured data
- Translate business needs into AI analytics solutions
Perks/Benefits
- Flexible hybrid working model
- Individual development plans
- Personal development
- Professional development
- Training opportunities
Skills/Tech-stack
AI Foundry | Agentic Workflows | Agentic coding | Azure | Azure AI | Azure AI Foundry | CI/CD | Claude Code | Data Privacy | Databricks | Embeddings | Git | GitHub Copilot | Language Models | Large Language Models | Prompt engineering | PySpark | Python | RAG | Responsible AI | Security | Vector Database | Vector indexing
Education
N/A
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