AI Data Engineer
Tasks
- Analyze production signals usage data with Python
- Balance completeness latency cost interpretability
- Build evaluation datasets and measurement frameworks
- Contribute to data centric AI best practices
- Define data contracts between AI systems and services
- Design data ingestion transformation normalization
- Design data representations schemas and contextual packaging
- Document data sources transformations assumptions limitations
- Ensure data coverage quality consistency
- Evaluate AI data enablement and evaluation tools
- Expose data to agents via retrieval and structured context
- Integrate data pipelines and context services into workflows
- Iteratively improve data supplied to AI agents
- Own AI agent data inputs
Perks/Benefits
- 401k matching
- Dental insurance
- Disability coverage
- Health insurance
- Life insurance
- Sick time
- Vacation time
- Vision insurance
- Wellness program
Skills/Tech-stack
Context engineering | Data Ingestion | Data Modeling | Data Normalization | Data Semantics | Data Transformation | Data integration | Evaluation Frameworks | LLM | Python | Retrieval systems | SQL
Education
Roles
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