You will design and build the foundational knowledge graph powering next-generation Generative AI applications and LLM-driven agents. By implementing GraphRAG strategies, you will ensure AI responses are factually accurate and traceable. This role sits at the intersection of data engineering and semantic modeling to bridge the gap between structured data and LLMs.
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AI Knowledge Graph Engineer at fast-growing AI startup
Are you an expert in graph databases looking to shape the future of Generative AI? We are seeking an AI Knowledge Graph Engineer to build the semantic backbone for next-generation LLM agents. You will bridge the gap between structured data and natural language by implementing GraphRAG strategies at a well-funded AI startup. This is a unique opportunity to work at the cutting edge of data engineering and AI orchestration, ensuring high-stakes AI responses are factually accurate, traceable, and contextually rich in a fully remote environment.
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Location
Remote
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Fast-growing AI software startup
What you will do
- Architect core conversational and reference graph schemas using property graph models to support complex multi-hop queries.
- Build robust ETL/ELT pipelines to ingest data from CRM and ERP systems while implementing entity resolution processes.
- Develop retrieval strategies combining semantic vector search with structural graph traversals using frameworks like LangChain or LlamaIndex.
Who this is a fit for
- At least 3 years of experience designing and optimizing enterprise-scale knowledge graphs with Neo4j, Neptune, or TigerGraph.
- Expert proficiency in Python for data manipulation and building scalable data engineering pipelines.
- Strong understanding of RAG methodologies, vector databases, and grounding LLM responses through structural data context.
Why this role is remarkable
- Lead the implementation of cutting-edge GraphRAG technology to solve factual halluncination in modern LLM applications.
- Join a well-funded startup backed by top-tier VCs at a pivotal stage of their platform's evolution.
- Work in a high-impact role where your architecture directly influences the accuracy and trust of customer-facing AI products.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.