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 solid 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)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Graph Database Expert (Karnataka)
🏢 Hycu
📍 Karnataka