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 take ownership in shaping and contributing to our culture. We pride ourselves in developing an inclusive and diverse company that supports our employees and customers to do extraordinary things .

The following is how we approach each Core Value:

Authenticity  – To be authentic means to be who we are and do it well. Focus your energy on being who YOU are. Be true to yourself. Authenticity also extends to our products. Understanding where we are truly the best fit for our customers and when we are not. And finally, authenticity in relationships: ensuring that we are honest and do what we say we’re going to do .

Grit – To win we need to want it. Every team member needs to be able to jump in and help at every turn. Whether it’s staying late to help a colleague or customer or finding a better process and making sure it’s communicated cross-functionally. You just have to do it and love it…and never stop trying .

Empathy – We need to care about each other, about our clients, about our business, and about the world around us. That might seem like a tall order, but if we don’t live in a constant state of empathy, if we don’t strive to truly put ourselves in another person’s shoes, we cannot truly serve the market.

"We are at our best when we stay true to our Core Values."~  Simon Taylor, CEO

What We Offer

Come work for one of CRN’s “ Cloud 100 Companies for 2026 ”. At HYCU you’ll have the opportunity to build your career with a “Visionary” B2B SaaS company from Gartner’s Magic Quadrant for BackUp and Data Protection Platforms . HYCU provides an excellent benefits package including Medical Insurance , generous time off, and more. We offer career development programs and an inclusive global culture. All our employees p articipate in our equity program.

Equal Opportunity Employer

HYCU is an equal opportunity employer and is committed to providing a workplace free from discrimination and harassment. We do not discriminate on the basis of race, color, religion, religious creed, national origin, ancestry, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, military or veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local laws.