Job Description:

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:

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

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