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Langgraph Jobs (NOW HIRING)

Cliff Services Inc

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Dallas, TX Position Overview We are seeking Junior and Senior Python Developers specializing in Generative AI and LangGraph to join our team in Dallas. You will build and scale AI-driven applications ...

eClerx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows * Integrate LLM-powered agents with external APIs, databases, and ...

Genixbit

AI Agent Architect

San Francisco, CA · On-site

Full-time San Francisco USA Hybrid Senior $180k - $240k About the Role We are seeking a Senior AI Agent Architect to design and deploy autonomous, multi-agent systems using frameworks like LangGraph ...

eClercx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows * Integrate LLM-powered agents with external APIs, databases, and ...

IT America Inc

Agentic AI Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI The Agentic AI Lead is a pivotal role responsible for driving the research ...

Genixbit

Full-time San Francisco USA Hybrid Senior $180k - $240k About the Role We are seeking a Senior AI Agent Architect to design and deploy autonomous, multi-agent systems using frameworks like LangGraph ...

RiseIT Solutions

AI Engineer

Cincinnati, OH · On-site

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 ...

Omega Hires

AI Claude Engineer

Irving, TX · On-site

Python | Cloud | Anthropic Claude | LangGraph OR LangChain | Google ADK | Generative AI / LLM | AI Agents Job Summary We are seeking an experienced AI Engineer to design, develop, and deploy AI ...

Prophecy Technologies

AI/ML Eng

Malvern, PA · On-site

Develop RAG-based applications using LangChain and LangGraph . * Design and implement AI agents, workflows, and multi-agent solutions . * Work with Claude Code for AI-assisted development and ...

Sarian, Inc.

Agentic AI Developer

PA · On-site

Python, LangChain, LangGraph, Azure AI Foundry Roles & Responsibilities: * Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen ...

SWITS DIGITAL Private Limited

Lead AI Engineer

$104K - $138K/yr

What You'll Own End-to-end LangGraph orchestration design on GCP - multi-step conditional workflows, HELM gate state management (pause/resume on human approval), and chain sequencing across all four ...

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Design agentic workflows using LangChain and LangGraph. Must Have Technical/Functional Skills: We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered ...

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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.

More about Langgraph jobs

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Langgraph jobs near you
Infographic showing various Langgraph job openings in the United States as of September 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Local to Charlotte Only!
JD
Must Have Technical/Functional Skills
• Python (automation, backend services).
• JavaScript/TypeScript
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
Roles & Responsibilities
Design, develop, and support cloud-native automation and AI agent workflows using Python, RPA,
and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized
architectures.Responsibilities
Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, and workflows.
Integrate automations with enterprise systems via REST APIs and databases.
Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards
Role Descriptions: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Essential Skills: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Desirable Skills:
Keyword:
Skills: Digital : Python
Experience Required: 4-6, Project Code :

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