Generative AI / Azure AI Engineering Lead
AED 192K-234K (estimate) Senior-level Full Time
Tasks
- Apply security controls using managed identity and RBAC
- Build RAG applications with retrieval and citation grounded responses
- Configure and optimize Azure AI Search indexes for hybrid and semantic search
- Design and deploy enterprise generative AI solutions on Microsoft Azure
- Develop Python orchestration pipelines and API integrations
- Implement agentic AI and multi agent workflows
- Implement document intelligence workflows with OCR and metadata enrichment
- Integrate Azure OpenAI models with enterprise applications and document workflows
- Lead technical teams for design development testing deployment and support
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | Active Directory | Agent systems | Agentic AI | Application Insights | Azure AI | Azure AI Foundry | Azure AI Search | Azure Active Directory | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Apps | Azure Content Understanding | Azure Functions | Azure Key Vault | Azure Machine Learning | Azure Monitor | Azure OpenAI | BERT | Blob Storage | CI/CD | Container Apps | Content Understanding | Cosmos DB | Docker | Embeddings | Entity recognition | Entra ID | FastAPI | Function Calling | Hybrid search | Key Vault | LSTM | Langchain | Llamaindex | Machine Learning | Managed Identity | Multi-Agent | Multi-Agent Systems | Named Entity Recognition | OCR | PostgreSQL | Prompt engineering | PromptFlow | Python | RAG | RBAC | REST API | RNN | SQL | Semantic Search | Snowflake | Structured Output | Supabase | System prompts | TF-IDF | Vector Search | Word2Vec | XGBoost
Education
N/A
Roles
AI | AI Engineer | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Generative AI Engineer | Lead
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