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Langgraph Jobs in Kentucky (NOW HIRING)

$120 - $160/hr

Develop AI-powered solutions using LangGraph and LangChain. * Design and implement knowledge graphs and graph-based retrieval solutions using Neo4j. * Integrate ServiceNow data and enterprise ...

New

$129 - $178/hr

Using LangGraph, LangChain, Azure OpenAI, Azure AI Foundry, Databricks, and Humana's AI Gateway, you build agentic workflows that reason through decision processes, generate recommendations, explain ...

New

$115 - $145/hr

Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and LangChain, AWS Bedrock AgentCore, including tool use, retrieval, memory, orchestration, and multi-step ...

$145 - $159/hr

LangGraph, Temporal, Pydantic and LangFuse are your primary tools; enterprise reliability, observability, and scale are your standards. You'll also play a light but meaningful mentoring role, helping ...

$131 - $176/hr

You'll be the person who defines when to reach for a low-code tool like Workato or Salesforce Flow, when to build a custom LangGraph agent, and how to connect them into a coherent, governed ...

$180 - $280/hr

Expertise in Python, Langchain/LangGraph, and RAG systems. Proven ability to design end-to-end solutions, mentor teams, and drive cross-functional collaboration to achieve impactful results Job Title:

New

$70 - $90/hr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

New

$155 - $200/hr

Pythonproficiencyand familiarity with librariesand frameworks(uv,Pydantic,FastAPI,CrewAI,LangChain,LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with emerging AI ...

$144 - $268/hr

Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI * Familiarity with vector databases (e.g., Azure AI Search, Pinecone, Weaviate) for RAG ...

New

$191 - $239/hr

Build and operate systems using LangChain, LangGraph, and Langfuse in Python to develop, orchestrate, and evaluate agentic and LLM-based applications in production * Drive the department's adoption ...

$75 - $158/hr

Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for AI based application assistants. * Implement prompt engineering strategies and integrate AI/LLM APIs ...

New

$145 - $160/hr

Build AI agents/integrations using Celigo's integrator.io and frameworks like LangChain and LangGraph, and using best practices in AI SDLC. * Be an advocate for Celigo and show the art of the ...

$180 - $240/hr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

New

$140 - $210/hr

Familiar with agentic frameworks (LangGraph, Pydantic AI, similar) Soft skills * Strong management skills; passionate about leading and mentoring team of engineers * Exceptional product instincts ...

$180 - $240/hr

... langgraph, mcp, temporal, prefect, airflow. #J-18808-Ljbffr

$320 - $380/hr

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams ...

New

$300 - $400/hr

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams ...

New

$300 - $400/hr

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams ...

New

$165 - $185/hr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

New

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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 Kentucky?

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

What cities in Kentucky are hiring for Langgraph jobs?

Cities in Kentucky with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Kentucky as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Lead ServiceNow Developer with strong AI/GenAI expertise

Jade Global

On-site

$120 - $160/hr

Other

Posted 3 days ago

New


Job description

Lead ServiceNow Developer with strong AI/GenAI expertise1

We are looking for an experienced ServiceNow Developer with strong AI/GenAI expertise to design, develop, and implement innovative ServiceNow solutions that combine the ServiceNow platform with modern AI capabilities. The ideal candidate will have hands-on experience with ServiceNow development, Now Assist, AI agents, Graph RAG, Agentic RAG, LangGraph, LangChain, and Neo4j, along with strong programming skills in Python and JavaScript. This role will be responsible for building intelligent, context-aware solutions and AI agents that leverage enterprise knowledge, ServiceNow data, and graph-based relationships to automate workflows and improve user experiences.

Key Responsibilities
  • Design, develop, configure, and maintain solutions on the ServiceNow platform.
  • Develop ServiceNow applications, workflows, integrations, business rules, Script Includes, REST APIs, UI components, and custom applications.
  • Configure and extend Now Assist capabilities to support enterprise AI use cases.
  • Design and develop AI agents/agentic workflows within the ServiceNow platform.
  • Build and integrate Graph RAG and Agentic RAG solutions for enterprise knowledge retrieval and reasoning.
  • Develop AI-powered solutions using LangGraph and LangChain.
  • Design and implement knowledge graphs and graph-based retrieval solutions using Neo4j.
  • Integrate ServiceNow data and enterprise knowledge sources with AI/LLM-based applications.
  • Develop intelligent agents capable of retrieving information, reasoning over enterprise data, and executing appropriate actions.
  • Build RAG pipelines, including document ingestion, chunking, embeddings, retrieval, reranking, context construction, and response generation.
  • Develop integrations between ServiceNow, AI/ML services, vector/graph databases, and external enterprise systems.
  • Write clean, maintainable, and scalable Python and JavaScript code.
  • Collaborate with architects, product owners, business stakeholders, and AI/ML engineers to translate business requirements into scalable technical solutions.
  • Implement appropriate security, access controls, governance, monitoring, and testing for AI-enabled ServiceNow solutions.
  • Troubleshoot production issues and continuously improve the performance and reliability of AI and ServiceNow solutions.
Required Skills & Experience
  • ServiceNow Strong hands-on experience as a ServiceNow Developer.
  • Experience with ServiceNow development and configuration across areas such as: Business Rules Script Includes Client Scripts UI Policies / UI Actions Workflows / Flow Designer REST/SOAP integrations ServiceNow APIs Custom applications
  • Strong understanding of the ServiceNow platform architecture and development best practices.
  • Experience configuring and extending Now Assist.
  • Hands-on experience developing or configuring AI agents on the ServiceNow platform.
  • AI / GenAI / RAG Strong understanding of Generative AI, LLMs, RAG, and AI agents.
  • Hands-on experience building Graph RAG solutions.
  • Hands-on experience with Agentic RAG / Agentic AI architectures.
  • Experience designing AI agents that can reason, retrieve information, use tools, and execute actions.
  • Strong understanding of retrieval pipelines, embeddings, vector search, knowledge graphs, context management, and prompt engineering.
  • Experience integrating LLMs with enterprise applications and data sources.
  • AI Frameworks & Technologies Hands-on experience with LangGraph for building agentic workflows.
  • Strong experience with LangChain and its components for LLM/RAG application development.
  • Experience with Neo4j and knowledge graph concepts.
  • Experience designing graph-based retrieval and reasoning workflows.
  • Experience working with APIs and integrating AI services with enterprise platforms.
  • Programming Strong JavaScript development skills, particularly in the context of ServiceNow.
  • Strong Python programming skills for AI/GenAI integrations and backend development.
  • Ability to develop production-quality, modular, testable, and maintainable code.
Preferred Qualifications
  • Experience with ServiceNow AI Search, Now Assist, Virtual Agent, Knowledge Management, or Intelligent Automation.
  • Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar technologies.
  • Experience with vector databases and semantic search technologies.
  • Understanding of knowledge graph modeling, graph algorithms, and graph-based retrieval.
  • Experience with REST APIs, microservices, cloud platforms, and enterprise integrations.
  • Experience implementing AI solutions with enterprise security, governance, and responsible AI considerations.
  • ServiceNow certifications such as Certified System Administrator (CSA) or Certified Application Developer (CAD) are preferred.
Minium Experience

12 years of developement experience

Working at Jade Global

Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees. We seek to provide the benefits you need while standing behind you every step of the way.

  • Our programs include health-related policies and leave donation policy.
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