Data Product Engineer
Tasks
- Build end to end data platform
- Build evaluation harnesses for data quality and performance
- Design build and operate data pipelines
- Design search infrastructure for retrieval
- Develop extraction transformation and orchestration systems
- Expose clean production ready data products to AI agents
- Ingest raw external data sources
- Integrate structured and unstructured data
- Maintain production data infrastructure
- Own schema evolution monitoring and reliability
Perks/Benefits
Skills/Tech-stack
APIs | Agent systems | Data Processing | Data pipeline | Data pipeline orchestration | Document processing | ETL | Evaluation Frameworks | Information Retrieval | LLM | Language Processing | Monitoring | Multi-Agent | Multi-Agent Systems | Multimodal Document Processing | Natural Language | Natural Language Processing | PDF Processing | Pipeline Orchestration | Python | Reliability Engineering | Retrieval-Augmented Generation | SQL | Schema management | Unstructured Data | Unstructured Data Processing | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Data Product Engineer | Engineer | Product Engineer
Regions
Countries
States
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