Graph DB Expert

Job Description Job Title: Graph Database Expert Location: Remote/Hybrid (India) Company: Datastunt Labs Type: Full-Time / Contract About Datastunt Labs Datastunt Labs is a fast-growing hybrid AI product + services company focused on building deep-tech, domain-specific AI systems for Marketing, Healthcare, and Operations. We specialize in rapid prototyping, scalable ML systems, and enterprise-grade automation platforms including SIAI, our AI-powered social media automation engine. We are expanding our data infrastructure capabilities and looking for a Graph Database Expert to architect, optimize, and scale graph-driven systems for our current and upcoming AI products. Role Overview We're looking for an experienced Graph Database Expert who can design, implement, and optimize graph-based data architectures. You will work closely with our AI, ML, and Backend Engineering teams to build high-performance knowledge graphs, relationship intelligence layers, and graph-powered recommendation systems. You should be able to handle everything from schema design to query optimization, graph ETL pipelines, system integration, and production deployment. Key Responsibilities Graph Architecture & Design - Design scalable graph schemas, data models, and relationship structures using tools like Neo4j, ArangoDB, TigerGraph, or Amazon Neptune. - Translate business and AI use-cases into graph-based data representations. - Build knowledge graphs to support personalization, automation, and predictive intelligence features. Graph Development & Optimization - Develop graph queries (Cypher, Gremlin, GSQL, AQL) with extreme performance focus. - Optimize graph database performance, indexing, caching, clustering, and partitioning. - Build and manage graph ETL pipelines for ingesting structured, unstructured, and streaming data. AI & Backend Integration - Work with AI/ML teams to support semantic search, embeddings, LLM-driven reasoning, and entity linkages via graph structures. - Build APIs and microservices that expose graph-powered functionalities to frontend and backend applications. - Integrate graph databases with Python, Node.js, or Go-based systems. Data Governance & Reliability - Implement access control, security policies, backup/restore, and monitoring for graph DB infrastructures. - Ensure reliability, high availability, and fault-tolerant architectures for production workloads. Required Skills & Qualifications Technical Expertise - 38 years of hands-on experience with graph databases and graph modeling. - Strong knowledge of at least one: Neo4j, TigerGraph, ArangoDB, OrientDB, JanusGraph, Amazon Neptune. - Deep experience with graph query languages (Cypher, Gremlin, GSQL, AQL). - Solid understanding of graph algorithms (PageRank, community detection, shortest path, centrality, embeddings). - Experience building knowledge graphs, entity resolution systems, or recommendation systems. - Strong Python/Node.js skills for data integration and API development. Nice to Have - Experience with LLM-based reasoning layers and vector-graph hybrid search. - Familiarity with workflow engines, event-driven systems, and microservice architectures. - Prior startup or fast-paced product environment experience. Soft Skills - Strong problem-solving ability with a systems-thinking mindset. - Comfortable collaborating across AI, ML, product, and engineering teams. - Ability to work independently and own graph architecture end-to-end. - Communication skills to articulate complex data relationships clearly. What We Offer - Opportunity to build cutting-edge AI systems at a deep-tech lab. - Work closely with founders and shape core product architecture. - Fast growth environment with ownership and autonomy. - Competitive compensation and long-term incentives.