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Neo4J Developer Jobs in Ohio (NOW HIRING)

Senior AI Engineer

Macedonia, OH · On-site

$120 - $150/hr

We're hiring a Senior AI Engineer who enjoys owning the entire development lifecycle. From shaping ... Knowledge graphs and graph‑based retrieval (Neo4j, RDF/SPARQL, GraphRAG); * NL2SQL, semantic ...

Software Engineer Job No: 503789 Work Type: Staff Full Time (1500 hours or greater) Location ... with Neo4j & Graph Databases • Experience with React, Vue.js, Node.js • Experience with ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking - Auto Line ... Neo4j * Working knowledge of enterprise messaging middleware platforms such as Apache Kafka or ...

$120 - $160/hr

You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB ... Get to build tools for software engineers, just like yourself. And use the tools we build to ...

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Showing results 1-20

Neo4J Developer information

See Ohio salary details

$44.8K

$114.4K

$141.2K

How much do neo4j developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for neo4j developer in Ohio is $114,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,124.00 and $136,204.00 per year, depending on experience, location, and employer.

What is a Neo4j developer?

A Neo4J Developer is responsible for designing, developing, and optimizing graph database solutions using Neo4J. They work on data modeling, Cypher query optimization, and integrating Neo4J with applications. Their role involves understanding relationships between data, improving performance, and ensuring scalability. Additionally, they may collaborate with data scientists and engineers to leverage graph analytics for insights.

What are some common challenges faced by Neo4j developers, and how can they be addressed?

Neo4J Developers often encounter challenges such as optimizing complex queries for large datasets, ensuring data consistency, and integrating Neo4J with other systems or applications. Addressing these challenges typically involves a deep understanding of graph database performance tuning, designing scalable data models, and staying current with Neo4J updates and best practices. Collaborating closely with backend engineers, data scientists, and DevOps teams is also key to overcoming integration and architectural hurdles. With experience, many Neo4J Developers develop strong troubleshooting skills and may progress into senior developer or data architect roles.

What are the key skills and qualifications needed to thrive as a Neo4j developer?

To thrive as a Neo4J Developer, you need a solid background in graph database concepts, data modeling, Cypher query language, and software development (often with Java, Python, or JavaScript). Experience with Neo4J tools and platforms, as well as relevant certifications like Neo4J Certified Professional, are highly valued by employers. Strong problem-solving abilities, effective communication, and the ability to work both independently and collaboratively are important soft skills. These competencies ensure you can efficiently design, implement, and optimize graph-based solutions that support complex data relationships within modern business applications.

What are the most commonly searched types of Neo4J Developer jobs in Ohio?

The most popular types of Neo4J Developer jobs in Ohio are:

What job categories do people searching Neo4J Developer jobs in Ohio look for?

The top searched job categories for Neo4J Developer jobs in Ohio are:

Infographic showing various Neo4J Developer job openings in Ohio as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,355 per year, or $55 per hour.

Senior AI Engineer

IWConnect

Macedonia, OH • On-site

$120 - $150/hr

Other

Posted 9 days ago


Job description

We're hiring a Senior AI Engineer who enjoys owning the entire development lifecycle. From shaping the architecture to building and deploying solutions, you'll use AI tools every day to work smarter and faster. You'll lead projects with minimal oversight, guide other engineers when needed, and confidently deliver independently while collaborating with experts for reviews and validation. Our team builds enterprise‑grade AI applications, including RAG systems, agentic workflows, and modern AI‑powered solutions.

What you'll do:
  • Work directly with clients: translate business problems into AI solutions, explain how the technology behaves (and its limits), and report progress clearly;
  • Support proposals and pre‑sales for new AI engagements;
  • Lead AI engineers on engagements: if needed to have ability to set tasks, review work, give feedback, and support growth and performance;
  • Own delivery quality and the path from PoC to production;
  • Design end‑to‑end AI‑powered experiences and the systems behind them: model selection, deployment patterns, infrastructure;
  • Architect and build RAG pipelines – chunking (semantic/recursive/hierarchical), embedding selection, retrieval, hybrid search, re‑ranking, and evaluation;
  • Build agentic / multi‑step workflows (LangChain, LangGraph, or equivalent): multi‑agent designs, agent‑to‑agent protocols, and tool/API/MCP‑style integration with enterprise systems;
  • Deploy on a hyperscaler AI platform (Azure AI Foundry, AWS Bedrock, Google Vertex AI, K8s based or equivalent);
  • Build for production: observability, evaluations, AI safety, bias/failure‑mode handling, security, and cost control;
  • Write the production code yourself – hands‑on;
  • Use AI development tools (GitHub Copilot, Cursor, Claude Code, etc.) as part of how you build and validate what they produce.
Who are you:
  • 5+ years in software/AI engineering, with substantial hands‑on delivery of production AI/LLM systems (not only PoCs or notebooks);
  • Deep RAG expertise: chunking strategies, embedding models, vector databases, retrieval, re‑ranking, and evaluation frameworks;
  • Strong with agentic / multi‑step LLM workflows and orchestration (LangChain, LangGraph, or equivalent) and tool/API integration;
  • Able to build real software – production‑grade code in at least one of Python, .NET / C#, Java, or Node.js / TypeScript (APIs, services, integrations);
  • Experience deploying AI workloads on at least one hyperscaler AI platform;
  • Solid on production concerns: observability, evaluation, safety, security, cost;
  • Daily, fluent use of AI development tools in your own work;
  • Proven ability to take an AI solution from idea to production independently;
  • Confident client‑facing and team communication;
  • Knowledge graphs and graph‑based retrieval (Neo4j, RDF/SPARQL, GraphRAG);
  • NL2SQL, semantic layers, intelligent document processing;
  • LLMOps/MLOps tooling and practices.
Nice to have:
  • Broad / multi‑stack traditional software‑engineering background;
  • Experience with large, regulated organisations (banks, insurers, government, utilities);
  • Relevant certifications;
  • Formal team‑leadership/performance‑management experience.
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