Graph Database Expert

Why Join HYCU? HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com. Overview We are seeking a Knowledge Engineer (Graph Database Expert) that will be responsible for structuring enterprise data into semantic and contextual representations that enable Generative AI systems to retrieve, reason, and explain insights accurately. We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale. Our platform leverages Large Language Models (LLMs), knowledge graphs, metadata systems, and semantic layers to ensure AI systems are accurate , explainable, and grounded in enterprise data. We focus on creating trusted AI systems that enterprises can rely on for critical decision-making. Location : Bangalore , India (Hybrid; 3 days onsite/2 days remote) What You’ll Do: Design and maintain knowledge schemas, metadata models, and semantic representations for AI systems Develop and manage knowledge graphs and contextual data layers to support AI grounding Enable explainability and traceability of AI-generated insights Collaborate with AI, data, and product teams to align knowledge models with business use cases Continuously improve knowledge quality, relevance, and coverage Design and evolve enterprise knowledge models used by AI systems Ensure AI outputs are grounded in trusted, well-structured knowledge Work closely with LLM and Applied AI engineers to improve retrieval accuracy Implement standards for metadata quality, consistency, and lineage Identify gaps in knowledge coverage and propose improvements What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Information Systems, or a related field 6–9 years of experience in knowledge engineering, data modeling, or semantic systems Experience working with enterprise data platforms and analytics systems Exposure to AI-powered or data-intensive products is a strong plus Strong experience in data modeling, metadata management, and semantic design Hands-on experience with knowledge graphs, ontologies, or graph databases Understanding of how LLMs consume structured and unstructured knowledge Proficiency in querying and transforming large datasets Familiarity with explainability, lineage, and governance concepts for AI systems Technical Skills Required: Core Skills Data modeling Schema design (JSON, relational, hybrid) Graph-like thinking (Neo4j or similar) Entity relationship modeling Index mapping strategy (OpenSearch) Preferred GRAPH DB experience Search schema tuning Ontology modeling exposure Elasticsearch mappings experience Attributes of a Successful HYCUer in this role: Self-starter and strategic thinker who thinks outside the box Takes responsibility and ownership for driving successful outcomes. You’re results-driven with a winning attitude Team player! You have excellent people and management skills to interact with staff, colleagues, cross-functional teams and third parties Hands-on and builders' mentality with an entrepreneurial mindset and intrinsic motivation Obsessed with being customer-focused – We know our customers and are advocates for their voice and point of view across HYCU Intellectual curiosity, always open for continuous learning/growth mindset Who We Are: Our Core Values: Authenticity , Grit and Empathy are at the heart of everything we do at HYCU. All of us at HYCU ta