Senior AI Engineer, Data Analytics
Tasks
- Apply data governance and security practices
- Build Retrieval Augmented Generation systems
- Build data pipelines for reliable secure data
- Build natural language to query systems
- Design and review technical solutions to raise engineering bar
- Design build and ship AI agent applications
- Evaluate and benchmark AI system accuracy
- Implement guardrails and quality measurement
- Implement tool or function calling
- Improve AI output quality with prompt and context engineering
- Partner on governed metrics and data models
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agentic AI | Apache Flink | Apache Spark | Change Data Capture | ClickHouse | Cloud Data | Cloud Data Platforms | DBT | Data Capture | Data Governance | Data Modeling | Data Security | Data isolation | Data platforms | Databricks | Evaluation | Guardrails | Kafka | Language Processing | Latency analytics | Low Latency | Low-latency analytics | Metadata Management | Metrics layer | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic layer | Software Engineering | Tool-Calling
Education
Roles
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