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.
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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.