AI Engineer
AED 156K-228K (estimate) Senior-level Full Time
Tasks
- Add monitoring logging tracing and observability
- Architect multi agent tool augmented AI workflows
- Build React web applications for AI use cases
- Design and build production ready GenAI solutions
- Develop Python APIs and backend services
- Develop data validation and data quality checks
- Ensure AI governance, security, and compliance
- Implement MLOps and LLMOps pipelines
- Implement rag pipelines
- Integrate AI apps with Azure services and enterprise APIs
- Optimize AI and agent performance using metrics
- Perform code reviews and offshore deliverable reviews
- Set up model and prompt versioning and rollback
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AKS | API Management | Anomaly Detection | App Services | Azure AI | Azure AI Search | Azure App | Azure App Services | Azure Bot | Azure Bot Service | Azure Cache | Azure Cache for Redis | Azure Data | Azure Data Factory | Azure Databricks | Azure Document Intelligence | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | CI/CD | Data Factory | Data Quality | Data Validation | Databricks Genie | Databricks Vector Search | Document Intelligence | Embeddings | Entra ID | FastAPI | Flask | Graph Database | Haystack | Hybrid search | JavaScript | Kubernetes Service | Langchain | Langgraph | Language Models | Large Language Models | Microsoft Entra | Microsoft Entra ID | Neo4j | Prompt engineering | PyTorch | Python | RBAC | REST APIs | React | Retrieval-Augmented Generation | SQL | Spark | TensorFlow | Transformers | TypeScript | Vector Database | Vector Search
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Learning Engineer | Machine Learning Engineer | Stack Developer
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