Senior AI Engineer
Tasks
- Build evaluation datasets and testing frameworks
- Build extraction pipelines for unstructured documents and transcripts
- Collaborate with clients product teams and domain experts
- Combine LLMs with OCR and layout analysis
- Communicate pipeline capabilities limitations quality thresholds and risks
- Design validation rules and confidence scoring systems
- Process degraded inputs with consistent extraction quality
- Route low confidence cases to human review
- Use AI coding agents in day to day workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Textract | Confidence scoring | Data Validation | Document AI | Evaluation | Google Document AI | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Layout analysis | Machine Learning | Natural Language | Natural Language Processing | Node.js | OCR | Prompt engineering | Python | Schema Validation | The Loop | Tool-Calling | TypeScript
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Parsing Engineer
Regions
Countries
States
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