Generative AI / Azure AI Engineering Lead
AED 192K-234K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines with embeddings and vector search
- Build document intelligence workflows with OCR and analyzers
- Configure Azure AI Search indexes for hybrid semantic retrieval
- Design enterprise Generative AI architecture
- Develop Python orchestration pipelines and API integrations
- Develop and deploy Azure OpenAI solutions
- Ensure reliable grounded responses with citation validation and evaluation
- Implement agentic AI multi agent workflows
- Implement secure cloud native AI using Azure identity and key management
- Integrate document ingestion and chunking pipelines
- Lead technical team delivery and production readiness
Perks/Benefits
- N/A
Skills/Tech-stack
ACL | AI Foundry | AI Search | API Security | Agent systems | Agentic AI | Application Insights | Azure AD | Azure AI | Azure AI Foundry | Azure AI Search | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Apps | Azure Functions | Azure Key Vault | Azure Machine Learning | Azure Monitor | Azure OpenAI | BERT | Blob Storage | CI/CD | Container Apps | Docker | Embeddings | Entity recognition | Entra ID | Evaluation Frameworks | FastAPI | Function Calling | Generative AI | Git | Hybrid search | JSON Schema | Key Vault | LSTM | Langchain | Language Models | Large Language Models | Llamaindex | Logging | Machine Learning | Managed Identity | Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Named Entity Recognition | OCR | PostgreSQL | Prompt engineering | PromptFlow | Python | RAG | RBAC | REST APIs | SQL | Semantic ranking | Structured Output | Supabase | Telemetry | Token optimization | Vector Search | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Engineering | AI Engineering Lead | Architect | Engineer | Engineering Lead | Generative AI Engineer | Lead | Software Architect
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