AI Knowledge Graph Engineer - Neo4j & RAG Systems

Emplay; Stati Uniti; Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Emplay is seeking a Graph Expert with hands-on experience in knowledge graphs, Neo4j, and AI data pipelines. You will design and implement production-grade graphs, write Cypher queries, and integrate graph tech into cloud-native AI workflows.

You will build RAG pipelines, develop LangChain applications, and work with AWS serverless stack to deploy scalable AI components. Remote role with potential collaboration across teams and code reviews.

Competenze

• Experience designing and building knowledge graphs or semantic graphs.
• Understanding of entities, relationships, graph schema design, ontology modeling, and querying graph data.
• Hands-on experience with Neo4j and integrating graph databases into AI or data pipelines.

Mansioni

• Design and build production-grade knowledge graphs and semantic graphs, defining entities, relationships, ontologies, and graph schemas.
• Write, optimise, and maintain Cypher queries; leverage APOC procedures and Graph Data Science (GDS) library for advanced analytics.
• Integrate Neo4j (or Amazon Neptune) into AI and data pipelines alongside vector databases and relational stores.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines covering document ingestion, chunking, embedding generation, vector search, and LLM grounding.
• Develop LLM-powered applications using LangChain - chains, agents, tools, memory modules, and custom retrievers.
• Integrate Amazon Bedrock to invoke foundation models, manage configurations, and embed them into backend pipelines and agentic workflows.
• Design and implement autonomous or semi-autonomous AI agents with tool use, planning, and multi-step reasoning.
• Collaborate on AWS serverless architecture (Lambda, API Gateway, DynamoDB, S3) to deploy and scale AI components.
• Participate in code reviews, communicate blockers early, and take tasks through to completion with minimal supervision.
• Document technical design decisions, graph schemas, and pipeline architecture clearly for cross-functional audiences.

Conoscenze

Knowledge Graph / Semantic Graph Con

Graph Databases

Python

LangChain

AI Agents & Agentic Workflows

AWS Services

Vector Databases

Neo4j

Strumenti

Neo4j / Cypher

APOC

Graph Data Science (GDS)

Amazon Neptune

Bedrock integration

LangChain integration

OpenSearch / Elasticsearch

Descrizione del lavoro

Emplay is seeking a Graph Expert with hands-on experience in knowledge graphs, Neo4j, and AI data pipelines. You will design and implement production-grade graphs, write Cypher queries, and integrate graph tech into cloud-native AI workflows.

You will build RAG pipelines, develop LangChain applications, and work with AWS serverless stack to deploy scalable AI components. Remote role with potential collaboration across teams and code reviews.