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
- 5â6 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.
- Robust 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
[email protected]
📌 Graph Platform (Hyderabad)
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