Sr. Neo4j & AI Engineer

Ust

Location: US
Workplace: Remote
Employment: Full Time
Salary: USD 106,000–159,000/yr

Posted 25d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Build and maintain knowledge graph solutions supporting 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
Design, deploy, and manage graph and AI workloads on Azure
Implement cloud-native solutions using Azure services such as Azure OpenAI, Azure AI Services, 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 solutions using Terraform, Bicep, or ARM templates
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
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

Requirements

7+ years of software engineering experience with at least 3+ years hands-on in Neo4j and graph databases
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

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

Skills

Neo4j
Cypher
Python
Azure
Azure OpenAI
Azure AI Services
Azure Kubernetes Service
Azure Functions
Azure Storage
Azure Data Factory
Azure Databricks
Azure Synapse
Azure Monitor
Terraform
Bicep
ARM templates
Anthropic Claude
RAG
Docker
Kubernetes
GraphRAG
Azure AI Search
Azure Machine Learning
RDF
OWL
LangChain
LangGraph
Semantic Kernel

Responsibilities

Requirements

Preferred

Skills

Similar roles