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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Neo4j & AI Engineer - **Company:** UST Inc - **Location:** Aliso Viejo, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $106,000.0 - $159,000.0 - **Contract:** Temporary contract - **Skills:** Query Performance, Artificial Intelligence, Application Frameworks, Application Integration Architecture, Software Applications, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Distributed Systems, Graph Database, Graph Theory, Python (Programming Language), Neo4j, Performance Tuning, Software Architecture, Recommender Systems, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Cloud Platform System, Azure Data Factory, Cloud Monitoring, Large Language Models, Multi-Agent Systems, Generative AI, Indexer, Backend, AI Platforms, Infrastructure Automation Frameworks, Bicep, Azure AKS, Machine Learning Operations, Virtual Agents, Terraform, Azure Synapse Analytics, Serverless Computing, Docker, Databricks, Microservices - **Published:** August 6, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17827213?backUrl=%2Fcareer%2F17827213%2FSr-Neo4j-Ai-Engineer-California-Aliso-Viejo ## About the Role * 7+ years of software engineering experience with at least 3+ years of hands-on experience in Neo4j and graph database technologies. * Strong expertise in Neo4j, graph modeling, graph theory, and Cypher query development. * Hands-on experience building and deploying solutions on Microsoft Azure. * Experience designing and implementing Generative AI solutions using Anthropic Claude and/or enterprise LLM platforms. * Proven experience building knowledge graphs, graph-powered search, recommendation engines, or AI applications. * Strong programming skills in Python and experience with modern backend frameworks. * Experience integrating APIs, microservices, and distributed systems. * Hands-on experience with data engineering, ETL pipelines, and data integration frameworks. Experience with containerization and orchestration technologies such as Docker and Kubernetes. * Strong understanding of software architecture, performance optimization, and security best practices. * Preferred Qualifications: * Experience with GraphRAG, vector databases, semantic search, and agent-based AI architectures. * Familiarity with Azure OpenAI, Azure AI Search, Azure Machine Learning, and related AI services. * Experience with RDF, OWL, semantic technologies, or enterprise knowledge graph frameworks. * Experience working with large-scale enterprise datasets and AI-driven applications. * Familiarity with MLOps, LLMOps, and AI governance frameworks. * Exposure to LangChain, LangGraph, Semantic Kernel, or similar AI orchestration frameworks. * Neo4j, Azure, or cloud platform certifications are a plus. ## Description UST is searching for a Sr. Neo4j & AI Engineer with experience working with graph databases and data modeling. The opportunity: * Build and maintain knowledge graph solutions that support AI, search, recommendation, and analytics use cases. * Optimize graph storage, indexing, traversal patterns, and query performance for large-scale deployments. * Define and enforce data governance, security, and access controls within graph environments. * Monitor, troubleshoot, and tune Neo4j environments for reliability, performance, and scalability. * Azure Cloud Engineering Design, deploy, and manage graph and AI workloads on Azure. * Implement cloud-native solutions using Azure services such as Azure OpenAI, Azure AI Services, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Monitor. * Build secure, scalable, and highly available cloud architectures following Azure best practices. * Develop CI/CD pipelines and Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Bicep, or ARM templates. * Generative AI & Claude Integration * Design and implement AI-powered applications leveraging Anthropic Claude and other enterprise LLM platforms. * Build Retrieval Augmented Generation (RAG) solutions using Neo4j knowledge graphs and vector search capabilities. * Develop prompt orchestration, agentic workflows, and graph-enhanced reasoning solutions. * Collaborate with AI and Data Science teams to operationalize GenAI use cases in production. * Evaluate and optimize AI model performance, response quality, latency, and cost. * Technical Leadership * Provide technical leadership and mentorship to engineers across graph, AI, and cloud domains. * Lead architecture reviews, design discussions, and implementation planning. * Partner with stakeholders to translate business requirements into scalable technical solutions. * Establish engineering standards, best practices, and reusable frameworks. * Maintain comprehensive documentation of architectures, integrations, operational procedures, and design decisions This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. ## Related Videos - [Graphs and RAGs Everywhere... 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