Data & GenAI Engineer (L3) (Hybrid In-Office)
Tasks
- Apply grounding techniques
- Build Retrieval Augmented Generation systems
- Build agent orchestration workflows
- Collaborate with product engineering and data teams
- Design production-grade GenAI solutions
- Develop document ingestion pipelines
- Develop scalable data pipelines
- Develop testing best practices
- Implement evaluation and monitoring
- Implement observability and documentation
- Implement prompt engineering
- Implement retrieval strategies
- Implement vector search
- Transform structured and unstructured data into datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Complex joins | Data Quality | Data orchestration | ELT | ETL | Embeddings | Incremental processing | Language Models | Large Language Models | Medallion Architecture | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Vector Databases | Vector Search | Window Functions
Education
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