Graph DB Expert

Location: Remote/Hybrid (India)

Company: Datastunt Labs

Type: Full-Time / Contract

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.

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.

• 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.

• 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.

• 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.

• Implement access control, security policies, backup/restore, and monitoring for graph DB infrastructures.
• Ensure reliability, high availability, and fault-tolerant architectures for production workloads.

• 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.

• 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.

• 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.

• 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.