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Langgraph Jobs in Spring, TX (NOW HIRING)

We are seeking an experienced AI Data Analytics Lead with strong expertise in modern AI technologies, particularly Knowledge Graphs and LangGraph, to lead the design and implementation of enterprise ...

Using tools such as Copilot Studio, LangGraph, Cortex, and AgentCore, you will create multi-agent workflows, develop evaluation frameworks, and lead AI initiatives from concept to production. This ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

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 ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

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 ...

AI Software Engineer

Houston, TX · On-site

$115K - $145K/yr

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 ...

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

Experience with LangChain, LangGraph, or similar frameworks * Understanding of embeddings, vector DBs, retrieval workflows * Experience building production-quality code * Familiarity with async ...

Automation Engineer

Houston, TX · On-site

$110 - $150/hr

Hands-on experience with agentic orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent).* Familiarity with LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc ...

New

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

Deployed Engineer (Houston)

Houston, TX · On-site

$150K - $250K/yr

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

Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. * Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control ...

RAG knowledge systems, vision models, LangGraph style agent flows * Event driven architecture with Kafka or Azure Service Bus * OpenTelemetry based observability * Internal metadata and configuration ...

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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 job categories do people searching Langgraph jobs in Spring, TX look for?

The top searched job categories for Langgraph jobs in Spring, TX are:

What cities near Spring, TX are hiring for Langgraph jobs?

Cities near Spring, TX with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Spring, TX as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

AI Data Analytics Lead

Wise Skulls

Houston, TX • On-site

Full-time

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


Job description

Title: AI Data Analytics Lead
Location: Chicago, IL or Houston, TX (100% Onsite)
Duration: 6 months+ (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
We are seeking an experienced AI Data Analytics Lead with strong expertise in modern AI technologies, particularly Knowledge Graphs and LangGraph, to lead the design and implementation of enterprise AI solutions. The ideal candidate should have a solid software engineering background along with hands-on experience building AI-powered applications using knowledge graph technologies and associated AI frameworks.
Required Skills:
  • 6-10+ years of overall software engineering experience.
  • Hands-on experience with Knowledge Graph technologies.
  • Experience implementing solutions using LangGraph.
  • Strong understanding of Generative AI and associated AI technologies.
  • Experience designing enterprise AI applications and workflows.
  • Strong programming and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Note:
  • This is a Lead-level position, so overall software engineering experience is more important than years spent exclusively in AI.
  • The client is primarily looking for candidates with demonstrated implementation experience in Knowledge Graph and LangGraph.