Remote Knowledge Graph Engineer for AI & LLM Pipelines

Emplay; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Emplay Analytics Inc is seeking a Graph Expert to design, build, and query knowledge graphs and semantic graphs, with hands-on Neo4j Cypher experience to power AI and data pipelines. You will implement Retrieval-Augmented Generation pipelines, develop LangChain based applications, and integrate Neo4j, Neptune, Bedrock, and vector stores into scalable cloud workflows.

This remote, US-based role targets 2–3 years of experience and pairs with AWS serverless architecture to deploy autonomous AI

Qualifications

• Experience designing knowledge graphs or semantic graphs.
• Hands-on Neo4j Cypher and integrating into AI/data pipelines.
• Experience with graph databases such as Neo4j or Neptune.
• Strong Python fundamentals.
• Experience invoking Amazon Bedrock and prompt engineering.
• Experience building Retrieval-Augmented Generation pipelines.

Responsibilities

• Design and build production-grade knowledge graphs with ontologies.
• Write and optimise Cypher queries using APOC and GDS.
• Integrate Neo4j/Amazon Neptune into AI/data pipelines.
• Build RAG pipelines for document ingestion, embedding, and vector search.
• Develop LangChain-based LLM applications.
• Integrate Bedrock into backend pipelines and agent workflows.
• Design autonomous AI agents with planning and multi-step reasoning.
• Collaborate on AWS serverless architecture to deploy AI components.
• Participate in code reviews and document designs.

Skills

Knowledge Graph Design

Neo4j Cypher

Python

LangChain

AWS Serverless

Graph Analytics

Vector Databases

Agent‑Oriented AI

Tools

Neo4j

APOC

GDS

Bedrock

LangChain

OpenSearch/Elasticsearch

DynamoDB

Job description

Emplay Analytics Inc is seeking a Graph Expert to design, build, and query knowledge graphs and semantic graphs, with hands-on Neo4j Cypher experience to power AI and data pipelines. You will implement Retrieval-Augmented Generation pipelines, develop LangChain based applications, and integrate Neo4j, Neptune, Bedrock, and vector stores into scalable cloud workflows.

This remote, US-based role targets 2–3 years of experience and pairs with AWS serverless architecture to deploy autonomous AI