GenAI/Data Engineer
Tasks
- Architect multiagent orchestration and task decomposition
- Build data models schemas and transformations for analytics and AI workloads
- Collaborate with ML and AI teams to productionize agent driven use cases
- Design and support agentic AI systems with autonomous agents
- Design scalable data pipelines for batch processing
- Design scalable data pipelines for real time processing
- Ensure data quality reliability lineage and observability
- Implement retrieval augmented generation pipelines with embeddings
- Implement tool usage memory management and feedback refinement loops
- Integrate large language models into data pipelines for reasoning enrichment and automation
- Perform prompt engineering
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
Skills/Tech-stack
AWS | Agentic AI | Apache Spark | Cloud platform | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Databricks | Embeddings | Google Cloud | Google Cloud Platform | LLM integration | Langchain | Language Models | Large Language Models | Llamaindex | Microsoft Azure | Multiagent systems | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Task decomposition | Vector Databases
Education
N/A
Roles
Data Engineer | Engineer | GenAI Engineer | Senior Data Engineer
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