Senior Artificial Intelligence/Machine Learning Engineer

📋 Description

• Agent development: Design, build, test, and maintain production-grade extraction agents that
• Document ingestion engineering: Develop robust ingestion pipelines capable of processing degraded
• Confidence modeling and routing: Build field-level confidence models and routing mechanisms that
• Knowledge engineering and RAG: Build and configure retrieval-augmented generation knowledge bases
• Human-in-the-loop governance: Implement review and escalation workflows, confidence thresholds, and
• Change detection and reprocessing: Develop comparison workflows that evaluate new extraction

🎯 Requirements

• Deep experience in AWS architecture, including hands-on work with Amazon Bedrock in production
• Strong expertise in model selection, prompt engineering, context engineering, model evaluation, and
• Substantial experience with document AI and optical character recognition (OCR), including
• Strong understanding of layout-aware extraction and the challenges of transforming OCR output into
• Demonstrated experience extracting structured information from long, unstructured documents into
• Proven ability to build agentic AI systems involving multi-step reasoning, tool-use protocols, and

🎁 Benefits

• Work arrangement: Remote position in India.
• Collaborative environment: Join a supportive engineering community with an open-door culture and
• Career development: Contribute to large-scale projects with global impact while expanding expertise
• Learning opportunities: Access internal meetups, conferences, workshops, language courses, Udemy
• Internal mobility: Explore opportunities across different business domains and projects to broaden
• Healthcare and well-being: Company-paid medical insurance and mental health support.