Description

You will build and operate Generative AI pipelines for document intelligence, integrating LLMs with enterprise systems.

This role is on-site.

Responsibilities

• Design and develop AI pipelines for document parsing, information extraction, and text understanding using LLMs and NLP.
• Implement GenAI systems for summarization, semantic search, and contextual reasoning using RAG architectures.
• Build algorithms for knowledge graph construction, entity linking, and relationship extraction from text corpora.
• Develop and maintain scalable APIs and backend services to integrate GenAI capabilities with enterprise applications.
• Optimize Neo4j-based knowledge graphs to represent and query structured relationships from unstructured data.

Required Skills

• 5+ years of professional experience in AI/ML engineering or related fields.
• Proficiency with LangChain and LlamaIndex frameworks.
• Experience with Neo4j for graph database implementation and optimization.
• Proficiency with Hugging Face for model utilization.
• Experience integrating with OpenAI APIs.
• Understanding of transformer architectures and graph embeddings.
• Knowledge of NLP techniques for text understanding and extraction.

Preferred Skills

• Ability to collaborate effectively with Data Scientists and AI/ML Engineers.
• Experience building scalable backend services for AI integration.

Key Skills

Education

Any Gradute