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Langgraph Jobs in Ohio (NOW HIRING)

ESPRiT Engineering GmbH

$76.14 - $99.57/hr

B. "Propose, Refine & Revise") mittels moderner Orchestrierungs-Frameworks wie LangGraph * Memory & Context Management: Aufbau robuster RAG- und Graph-RAG-Architekturen sowie Architekturen für das ...

Reply Group

$69.95 - $93.26/hr

Aufgaben * Entwicklung produktionsreifer agentenbasierter Systeme unter Einsatz von Frameworks wie LangGraph, CrewAI, AutoGen oder individueller Orchestrierungslösungen inklusive der Integration MCP ...

Bread Financial

Senior Staff Agentic AI Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Contribute to defining and implementing agenttoagent communication protocols using frameworks like LangGraph, AutoGen, or CrewAI. - (15%) * Measure and improve agent decision reliability using tools ...

Compunnel

IVR Tech Lead

Cleveland, OH · On-site

Apply agentic AI patterns using Gemini, LangGraph, and LangChain to enhance conversational behavior. * Collaborate across the contact center technology ecosystem to support call routing, self-service ...

IWConnect

Senior AI Engineer

Macedonia, OH · On-site

$120 - $150/hr

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;

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Langgraph information

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are popular job titles related to Langgraph jobs in Ohio?

For Langgraph jobs in Ohio, the most frequently searched job titles are:

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

The top searched job categories for Langgraph jobs in Ohio are:

What cities in Ohio are hiring for Langgraph jobs?

Cities in Ohio with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

W2 Contract Job : AI Engineer || Cincinnati, OH - Onsite

Cincinnati, OH • On-site

Intone Networks Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Intone Networks Inc.external

Other

Posted 29 days ago

Job description

Hi there,
Hope you are doing well,
Please go through the job description, if you are interested, Please Share your updated resume.
 
Job Role :  AI Engineer
Location : Cincinnati, OH - Onsite
Hire Type : Contract
Acceptable Tax-Terms : W2
**** in-person interview required****
 
Job description :
Design, develop, and deploy enterprise AI solutions leveraging LangChain, LangGraph, RAG, Agentic AI, and AI Governance. Senior engineers will additionally lead architecture, governance, and AI strategy initiatives.

 

Primary Skills: Python, LangChain, LangGraph, RAG, Agentic AI, OpenAI, Vector Databases, AI Governance, Cloud AI.

Key Responsibilities

  • Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/LangGraph.
  • Develop prompt workflows, orchestration pipelines, and vector search solutions.
  • Integrate LLMs with APIs, databases, and enterprise platforms.
  • Implement AI governance, safety, compliance, and risk controls.
  • Deploy and scale AI solutions on cloud platforms.
  • Senior: Lead AI architecture, mentor teams, define best practices, and drive AI innovation.

Required Skills

  • Strong Python development experience.
  • Hands-on expertise in LangChain, LangGraph, OpenAI/Azure OpenAI.
  • Experience with RAG, Vector Databases (Pinecone, FAISS, Chroma, Weaviate), and Agentic AI.
  • Understanding of AI Governance, Responsible AI, Safety, and Compliance.
  • Experience deploying enterprise AI solutions in AWS, Azure, or Google Cloud Platform.

Preferred Skills

  • Multi-Agent Systems and advanced AI orchestration.
  • Guardrails, AI auditing, and compliance tooling.
  • Experience leading enterprise AI programs and mentoring teams.
 
 
 
 
 
 
Thanks & Regards
Abhinav Singh
Technical Recruitment Specialist
Intone Networks Inc.
Direct No:
Email:
LinkedIn URL: 

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