Job Description

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The GenAI Engineer will be responsible for designing developing and deploying AI driven systems focused on document parsing context understanding and knowledge graph construction The role combines expertise in generative AI models large language model LLM frameworks and graph based data representation The engineer will build scalable document understanding pipelines extract relationships from unstructured data and construct knowledge graphs using technologies such as Neo4j to enable intelligent information retrieval and reasoning across enterprise datasets

Key Responsibilities:

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Design and develop AI pipelines for document parsing information extraction and text understanding using LLMs and NLP techniques Develop and refine algorithms for knowledge graph construction entity linking and relationship extraction from text corpora Implement GenAI systems for summarization semantic search and contextual reasoning using retrieval augmented generation RAG Work with vector databases embedding generation and model fine tuning for domain specific applications Build and maintain scalable APIs and backend services to integrate GenAI capabilities with enterprise applications Design and optimize Neo4j based knowledge graphs to represent and query structured relationships from unstructured data Collaborate with data scientists AI ML engineers and software teams frontend backend to integrate GenAI features into production Evaluate and apply frameworks such as LangChain LlamaIndex Hugging Face and OpenAI APIs for document intelligence workflows Develop algorithms for semantic search reasoning and document to graph alignment using graph embeddings and transformer architectures Ensure data quality governance and compliance with enterprise security and information management standards Document research findings maintain technical design specifications and support continuous model improvement

Preferred Skills:

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Technology->Machine Learning->R,Technology->Natural Language Processing->Microsoft LUIS->NLP