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Langgraph Jobs in Texas (NOW HIRING)

Plano, TX * Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment.

Immediate Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment. Hands-on ...

Senior Java Developer - AI/ML

Dallas, TX · On-site

$119K - $155K/yr

LangGraph * Spring AI * Semantic Kernel * LlamaIndex * CrewAI * AutoGen (preferred) Backend Architecture * Design event-driven architectures. * Build high-performance APIs. * Develop resilient ...

Senior Staff Agentic AI Engineer

Frisco, TX · On-site +1

$99K - $134K/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 ...

Showing results 41-60

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.
What cities in Texas are hiring for Langgraph jobs? Cities in Texas with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Texas as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Other

Posted 19 days ago


Job description

 

Role: GenAI Engineer
Duration: Long Term
Location: Plano, TX

JOB DESCRIPTION:

  • Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment.  
  • Hands-on experience in Python, PySpark, Databricks, Delta Lake, NoSQL, and Azure Cloud, API development (preferably FastAPI in Python).
  • Ability to independently debug and triage problems is essential.
  • Need a creative approach for the ability to solve problems with the agentic world.