Job Description
Architect and lead the development of AI-powered Intelligent Document Processing systems capable of ingesting complex, multi-modal documents (text, scanned PDFs, handwritten content, images, construction diagrams).
Design and implement end-to-end pipelines that extract, structure, and store information in scalable databases for downstream analytics and LLM-based applications.
Develop and deploy agentic workflows that orchestrate LLM reasoning, computer vision models, OCR systems, and external tools/APIs.
Build production-grade solutions leveraging LLM frameworks (e.g., LangChain, LlamaIndex, LangGraph) and language-vision models.
Oversee deployment in cloud-based environments (Databricks and Azure preferred), ensuring scalability, reliability, and cost efficiency.
Lead the design of RAG pipelines and structured knowledge graph based systems to enable accurate retrieval and rea...
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