GenAI/Data Engineer
Tasks
- Build data models schemas and transformations
- Build scalable data infrastructure
- Design and support agentic AI systems
- Design batch and realtime data pipelines
- Enrich automate and reason within data pipelines
- Ensure data quality and reliability
- Implement RAG pipelines embeddings and prompt engineering
- Implement feedbackself refinement loops
- Implement tool usage and memory management
- Integrate LLMs into data pipelines
- Maintain data lineage and observability
- Manage multiagent orchestration and task decomposition
- Productionize agent driven use cases
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental & vision coverage
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | Apache Spark | Batch Processing | Cloud platform | Data Engineering | Data Lineage | Data Modeling | Data Observability | Data Quality | Databricks | Embeddings | Google Cloud | Google Cloud Platform | LLM | Langchain | Llamaindex | Memory Management | Microsoft Azure | Multi-Agent | Multi-agent orchestration | Prompt engineering | Python | Real Time | Real-time Processing | Retrieval-Augmented Generation | SQL | Time processing | Tool use | Vector Database
Education
N/A
Roles
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