This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Artificial Intelligence/Machine Learning Engineer based in India.
The Senior Artificial Intelligence/Machine Learning Engineer will design and deliver production-grade AI systems that transform complex, unstructured documents into accurate, structured data. This hands-on engineering role focuses on agentic AI, document intelligence, large language models (LLMs), and retrieval-augmented generation (RAG) within scalable AWS environments. You will build intelligent extraction agents, resilient document ingestion pipelines, and confidence-based routing systems that balance automation with human oversight. The role emphasizes reliable outputs, secure domain-specific knowledge, measurable model performance, and responsible AI governance. You will also optimize inference costs and latency while developing evaluation frameworks and feedback loops that continuously improve system quality. Working within a team-oriented, cross-functional engineering team,
you will mentor other engineers and help establish reusable technical patterns for dependable, high-impact AI solutions.
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Accountabilities
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Agent development: Design, build, test, and maintain production-grade extraction agents that convert unstructured document content into structured target schemas while supporting multiple schema variants.
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Document ingestion engineering: Develop robust ingestion pipelines capable of processing degraded scans, multi-generation photocopies, mixed image-and-text PDFs, and documents with inconsistent layouts.
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Confidence modeling and routing: Build field-level confidence models and routing mechanisms that allow high-confidence outputs to proceed automatically while directing uncertain results to human review.
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Knowledge engineering and RAG: Build and configure retrieval-augmented generation knowledge bases that provide agents with secure, domain