50 Neo 4 J jobs available for remote work from home. Apply for positions such as Backend Engineer , Senior AI Platform Engineer, Senior AI Platform Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design and maintain the backend infrastructure, including REST APIs and data models for relational and graph databases. Additionally, you will operate services in production, debug complex issues, and collaborate with frontend and research teams to deliver reliable features.
Design and maintain semantic context layers including knowledge graphs and ontologies to inform AI agent behavior. Develop full-stack features and integrate RPA agents to enable context-aware automation and real-time data visibility.
Design and maintain semantic context layers including knowledge graphs and structured context stores to inform AI agent behavior. Develop full-stack features and integrate RPA agents to enable context-aware automation and real-time visibility into agent activity.
The consultant will design, configure, and maintain vended enterprise applications while providing technical expertise for Neo4J database environments. They are responsible for leading feature reviews, resolving technical issues, and mentoring team members on complex business processes.
You will act as the public face of Dapr and Diagrid, owning community growth, content creation, and developer engagement. This involves producing technical content, managing community platforms, and representing the company at events and conferences.
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You will serve as the public face of Dapr and Diagrid, driving community growth through content creation, event hosting, and developer engagement. You will also act as a bridge between the community and internal product teams to influence the roadmap based on developer feedback.
The Startup Program Manager will build and operate programs to support early-stage startups while managing application workflows and partner community initiatives. This role involves collaborating with cross-functional teams to execute outreach activities and optimize internal processes for program growth.
Develop, test, and maintain robust data pipelines to process AST outputs, knowledge graph structures, and vector embeddings. Collaborate with engineering teams to normalize code dependency graphs and optimize data retrieval speeds.
You will design, develop, and maintain high-quality software solutions for the central master data platform using cloud-native technologies. The role involves collaborating with cross-functional teams to ensure scalable, secure, and maintainable applications within an agile environment.
The Senior Solutions Engineer will partner with sales executives to showcase the value of the Neo4j graph platform and manage the technical aspects of the sales cycle. Responsibilities include conducting technical discovery, delivering platform demonstrations, and co-creating solution architectures for customers.
The Global Collections Specialist will manage accounts receivable, including billing operations, invoice distribution, and payment collection. They will also resolve customer inquiries, support the sales team with purchase orders, and assist with revenue-related audits.
You will design, build, and operate production-grade APIs, microservices, and data pipelines for maritime geospatial analytics. The role involves leading features end-to-end, from technical discovery and design through implementation, testing, and deployment.
You will design, build, and scale end-to-end data infrastructure, including APIs, containerized applications, and graph-based visualizations. Additionally, you will develop resilient ETL pipelines and manage data quality to support investigative workflows for federal and commercial clients.
The Senior Enterprise Account Executive will execute a strategic sales plan to drive revenue growth and new customer acquisition within an assigned territory. They will collaborate with cross-functional teams to present Neo4j solutions, manage complex sales cycles, and foster long-term customer success.
The Senior Manager, Web will define and execute the global web strategy to drive brand engagement and conversion goals. This role involves leading cross-functional projects, managing web performance through analytics, and implementing an optimization roadmap.
You will lead technical discovery sessions and guide enterprise customers through the successful implementation of Neo4j AuraDB and self-managed clusters. Additionally, you will architect robust data pipelines and provide expert guidance on system hardening, network security, and performance optimization.
You will act as a technical subject matter expert to design and implement graph-powered solutions for enterprise customers throughout the project lifecycle. This involves collaborating with engineering teams to architect data models, optimize data ingestion, and integrate Neo4j into modern AI and analytics frameworks.
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The Data Engineer will develop, maintain, and monitor robust data pipelines to process AST outputs, knowledge graph structures, and vector embeddings. They will also collaborate with AI/ML engineers to normalize data and ensure consistency across pipeline runs.
The Data Engineer will develop, maintain, and monitor robust data pipelines to process AST outputs, knowledge graph structures, and vector embeddings. They will also collaborate with AI/ML engineers to normalize data and ensure consistency across pipeline runs.
You will engineer an automated, AI-assisted pipeline to generate structured documentation from a large legacy codebase using LLMs and RAG architectures. You will also collaborate with cross-functional teams to optimize inference performance and integrate NLI-based validation layers.
Develop, maintain, and monitor robust data pipelines to process AST outputs, knowledge graph structures, and vector embeddings. Collaborate with engineering teams to normalize data and ensure consistency across automated documentation generation workflows.
Design, build, and operate production-grade APIs, microservices, and data pipelines for geospatial and temporal analytics. Lead features end-to-end from technical discovery and design through implementation, testing, and runtime monitoring.
Design, build, and operate production-grade APIs, microservices, and data pipelines for maritime geospatial analytics. Lead features end-to-end from technical discovery and design through implementation, deployment, and runtime monitoring.
You will design, build, and operate production-grade APIs, microservices, and data pipelines for maritime geospatial analytics. The role involves leading features end-to-end, from technical discovery and design through to implementation, deployment, and runtime monitoring.
Design and optimize high-throughput data pipelines that integrate static code analysis, graph databases, and vector indexes. Collaborate with AI/ML engineers to maintain knowledge graph schemas and ensure data integrity across automated documentation runs.
The Senior Data Engineer will design and optimize high-throughput pipelines that integrate static code analysis, graph databases, and LLM orchestration. They will also maintain Neo4j schemas and ensure data integrity across complex documentation workflows.
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You will design and optimize high-throughput data pipelines that integrate static code analysis, graph databases, and LLM orchestration layers. Additionally, you will collaborate with AI/ML engineers to maintain Neo4j schemas and ensure data integrity across complex documentation workflows.
The Automation QA Engineer will design and execute automated test suites to validate AI-generated documentation and data pipeline integrity. They will also collaborate with AI/ML and Data Engineers to define acceptance criteria and maintain evaluation baselines for pipeline performance.
Develop and maintain AI-assisted pipelines for automated documentation generation using self-hosted LLMs and RAG architectures. Collaborate with cross-functional teams to integrate vector search, graph queries, and automated validation scripts to ensure high-quality output.
You will engineer an automated, AI-assisted pipeline to generate structured documentation from legacy codebases using LLMs and RAG architectures. You will also collaborate with cross-functional teams to optimize inference performance and integrate NLI-based validation layers.
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