Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build RAG knowledge bases
- Build extraction agents for document intelligence
- Create diff path for reprocessing
- Design document ingestion pipeline
- Develop per field confidence model
- Implement human in the loop escalation
- Implement routing to review queue
- Optimize model selection for cost and latency
- Provide technical mentorship
Perks/Benefits
- Company paid medical insurance
- Company-paid certifications
- Financial consultations
- Language courses
- Legal consultations
- Mental health support
- Remote work flexibility
- Udemy access
Skills/Tech-stack
AWS | Amazon Bedrock | Amazon Textract | Chunking | Confidence Calibration | Confidence scoring | Context engineering | Cost Optimization | Document processing | Grounding | Human-in-the-loop | Information Retrieval | Latency optimization | Layout analysis | Model Evaluation | OCR | Prompt engineering | RAG | Retrieval-Augmented Generation | State management | The Loop | Token optimization | Tool use
Education
N/A
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