Agentic AI Engineer
Tasks
- Build feedback loops for continuous improvement
- Build lightweight agent UIs
- Build reusable agent components and patterns
- Build semantic layer for business concepts
- Deploy agents on Azure production services
- Design and deploy agentic AI workflows
- Develop and curate knowledge graphs
- Establish agent evaluation frameworks
- Implement hybrid retrieval pipelines
- Implement tracing logging and observability
- Lead design reviews and enablement sessions
- Standardize enterprise data access with MCP
- Support production incidents and platform issues
- Translate domain problems into agent use cases
Perks/Benefits
Skills/Tech-stack
AI Search | Agent Orchestration | Anthropic Claude | App Service | Autogen | Azure AI | Azure AI Search | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Key Vault | Azure OpenAI | CI/CD | Chroma | Container Apps | Cosmos DB | Cost monitoring | Data Factory | Data Lake Storage | Databricks | Databricks Unity | Databricks Unity Catalog | Dbt Semantic Layer | Distributed tracing | Docker | Embeddings | Entra ID | FastAPI | Git | Gradio | Graph Augmented RAG | Graph Databases | Hybrid search | Key Vault | Knowledge graphs | Langchain | Langgraph | Llamaindex | Microsoft Entra | Microsoft Entra ID | Model Context Protocol | Multi-step Planning | Neo4j | Ontology Design | OpenAI API | PGVector | Pinecone | Python | RAG | RDF | React | SPARQL | Semantic Kernel | Semantic layer | Semantic views | Snowflake | Snowflake Semantic Views | State management | Streamlit | Structured Logging | Terraform | Tool Routing | Unity Catalog | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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