Generative AI Engineer

GEN AI Engineer

· 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.