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Langgraph Jobs (NOW HIRING)

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical Skills: * Python Programming: Advanced proficiency in Python, including experience with asynchronous ...

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 ...

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 ...

VDart, Inc.

AI Engineer - W2

Charlotte, NC · On-site

Job Title/Role AI Engineer Mandatory Skills LangChain/LangGraph, Google ADK Years of Experience Required 8+ JD Strong experience in Python (8+ years) - LangChain/LangGraph, Google ADK - Design ...

Salesforce

DS with GEN AI

Plano, TX · On-site

$14.25 - $18.50/hr

Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. • Large Language Models (LLMs): In-depth understanding and practical experience with ...

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 ...

eClerx

Senior AI Developer

Manhattan, NY

$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 ...

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All JobsLanggraph Jobs

Langgraph information

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 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 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.
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Langgraph jobs near you
Infographic showing various Langgraph job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.
Sr LangGraph + AgenticAI Developer

Sr LangGraph + AgenticAI Developer

Judge Group, Inc.

Dallas, TX • On-site

$70 - $75/hr

Other

Posted 14 days ago

Job description

Location: Dallas, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description:
Real Title: Sr LangGraph + Agentic AI Developer
Duration: Longterm Open Ended Contract
Location
  • Primary: Dallas, TX 75201
  • Secondary: Charlotte, NC
  • Hybrid mode: 3 days/week onsite

Evaluation Procedure
  • Round 1: Video interview (30 minutes) - Candidate potential check
  • Round 2: In-person (Dallas/Charlotte) - Theoretical + coding challenge (no AI assistance; includes tool calling and intent routing)

Job Summary
Seeking a highly experienced Senior LangGraph Developer to architect and implement agentic workflows using LangGraph. The role requires expertise in building stateful, multi-agent systems leveraging LLMs for decision-making, orchestration, and automation. Responsibilities include designing resilient, scalable LangGraph architectures powering intelligent applications across domains.
Key Responsibilities
  • Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management
  • Lead development of agentic systems that interact, reason, and adapt dynamically
  • Optimize performance and scalability of LangGraph graphs in production environments
  • Integrate LangGraph with external APIs, databases, and LLMs
  • Mentor junior developers and establish best practices
  • Collaborate with AI researchers and product teams to translate abstract ideas into robust implementations
  • Design, create, and deploy Agentic AI models at production level

Required Experience & Expertise
  • 10+ years in software engineering, with at least 2+ years in LangGraph or agentic frameworks
  • Expert-level proficiency in Python, asynchronous programming, and graph-based computation
  • Deep understanding of LLM orchestration, memory management, and stateful agent design
  • Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms
  • Strong grasp of workflow debugging, graph visualization, and LangGraph Studio
  • Proven ability to build production-grade agentic systems with high reliability and fault tolerance
  • Proficient with Agentic AI models
  • Familiarity with evaluation metrics (RAG, batch processing, Agentic AI)

Nice-to-Have Skills
  • Working knowledge of MCP servers
  • Experience with Google ADK

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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