Principal Engineer – Data Intelligence
Tasks
- Accelerate AI assisted development
- Architect batch and streaming systems
- Benchmark agent accuracy
- Benchmark retrieval quality
- Build multi-agent systems
- Build production RAG systems
- Define AI data intelligence platform architecture
- Drive RAG and agent adoption
- Establish AI evaluation frameworks
- Integrate semantic metadata
- Measure hallucination rate
- Optimize infrastructure capacity
- Orchestrate agents
- Validate operational safety
Perks/Benefits
Skills/Tech-stack
AI Assisted Development | Agent Orchestration | Apache Beam | Apache Kafka | Apache Spark | Batch Processing | Cloud Dataflow | Data Engineering | Distributed Systems | Evaluation Frameworks | Google Cloud | Google Cloud Dataflow | Knowledge graphs | Operational safety | Python | Reranking | Retrieval-Augmented Generation | Semantic Reasoning | Semantic metadata | Streaming processing | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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