Senior Software Engineer - Agentic AI Engineer
Tasks
- Build and manage multi agent systems
- Build and optimize streaming data pipelines using Dataflow
- Connect agents to enterprise databases using Model Context Protocol Toolbox
- Develop intelligent agents using Vertex AI Agent Builder
- Execute real time inference using RunInference API or Vertex AI endpoints
- Ground AI models in business context using vector engines in BigQuery or AlloyDB
- Integrate Vertex AI with BigQuery for feature engineering
- Train tune evaluate and deploy Vertex AI models
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical/Dental/Vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AI Agent Builder | AI Pipelines | Agent Builder | Agent Developer Kit | AlloyDB | BigQuery | Cloud Spanner | Cloud Storage | Data Imputation | Data Preprocessing | Data Processing | Data encoding | Data scaling | Dataflow | Feature Engineering | Google BigQuery | Google Cloud | Google Cloud Spanner | Google Cloud Storage | Machine Learning | Model Context Protocol | Model Context Protocol Toolbox | Model Garden | Python | RunInference API | SQL | Streaming Data | Streaming data processing | Vector Search | Vertex AI | Vertex AI Agent Builder | Vertex AI pipelines
Education
N/A
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