Graph Platform

We are looking for a highly skilled Knowledge Graph Engineer (Senior Consultant / Equivalent) to design, develop, and optimize enterprise-scale Knowledge Graph and AI-powered data intelligence solutions. The ideal candidate will have strong expertise in Python, Azure cloud services, Neo4j, PostgreSQL, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) architectures. You will be responsible for building scalable data pipelines, enabling semantic intelligence through knowledge graphs, developing AI-powered search and discovery solutions, and integrating GenAI workflows that transform enterprise data into actionable insights. This role requires a strong blend of data engineering, graph technologies, cloud-native development, and AI/ML expertise. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python within Azure cloud environments. Build and manage data ingestion and transformation workflows for structured and unstructured data sources. Orchestrate data pipelines for seamless integration with graph databases and relational databases. Develop and enhance enterprise Knowledge Graph solutions to support semantic intelligence and AI-driven insights. Implement GenAI-powered NLP workflows using LangChain and LangGraph for entity extraction, relationship mapping, and metadata enrichment. Design, optimize, and maintain data models within Neo4j AuraDB and PostgreSQL environments. Enable semantic enrichment, graph analytics, intelligent search, and enterprise knowledge discovery. Develop and maintain RESTful APIs using FastAPI or Flask for: Data Ingestion Data Retrieval and Querying Workflow Orchestration Design and enhance Retrieval-Augmented Generation (RAG) pipelines for intelligent search and contextual insights. Integrate LangGraph workflows with Neo4j Cypher query generation for advanced graph-based querying capabilities. Support AI-powered reporting, automated insights generation, and knowledge discovery initiatives. Collaborate with DevOps teams to deploy and manage containerized applications on Azure Kubernetes Service (AKS). Implement autoscaling and performance optimization solutions using KEDA. Support CI/CD implementation, deployment automation, and cloud-native operational excellence. Ensure compliance with enterprise security, governance, and regulatory standards. Key Skills and Qualifications 5–6 years of experience in Data Engineering, Knowledge Graphs, AI/ML Engineering, or related domains. Strong proficiency in Python for backend development, data engineering, and AI workflows. Hands-on experience with Azure cloud services, including: Azure Data Factory Azure Functions Azure Kubernetes Service (AKS) Experience building scalable data ingestion, processing, and transformation pipelines. Strong expertise in LangChain and LangGraph frameworks. Experience working with Knowledge Graph technologies and graph databases, particularly Neo4j AuraDB. Strong knowledge of PostgreSQL and relational database design principles. Experience developing RESTful APIs using FastAPI or Flask. Strong understanding of semantic data modeling, metadata management, and graph analytics. Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. Knowledge of AI-powered search, intelligent retrieval, and enterprise knowledge management solutions. Experience with containerized applications and cloud-native architectures. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication, collaboration, and stakeholder management abilities. Location : Hyderabad, Bangalore Apply by sending your CV to careers@cliqhr.co.in