AI Engineering Analyst (Hybrid)
Irvine, CA, United States
USD 133K-202K (estimate) Mid-level Full Time
Tasks
- Automate testing and code deployments
- Build data products for transformation metadata extraction and error processing
- Build production-grade AI solutions
- Collaborate with statisticians and data scientists on data flow
- Design database and large scale process systems
- Develop agents for platform scaling
- Develop dataset processes for data modeling and mining
- Implement data quality control processes
- Integrate agent platforms with data platforms
- Operate and monitor AI solutions
- Optimize quality reliability latency and cost
- Test and evaluate foundation models and agent architectures
Perks/Benefits
Skills/Tech-stack
AI workflows | AWS | Agent architectures | Automated testing | C# | C++ | Data Mining | Data Modeling | Data Quality | Data Transformation | Error processing | Foundation Models | Java | JavaScript | Langchain | Langgraph | Metadata Extraction | Objective-C | Plotly Dash | Python | R | R Shiny | Scala | Swift
Education
Roles
AI | AI Engineering | AI Engineering Analyst | Analyst | Engineering Analyst
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