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Langgraph Jobs in Spring, TX (NOW HIRING)

BravoTech

Senior Architect

The Woodlands, TX · On-site

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 ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... LangGraph or equivalent). • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation. • Experience with Azure AI Foundry or comparable ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... LangGraph or equivalent). • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation. • Experience with Azure AI Foundry or comparable ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent). Experience in deploying and operating LLM ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel * Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs ...

Stanfordclimateventures

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel * Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs ...

New

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases. * Experience with Retrieval-Augmented Generation (RAG), multi ...

Doist

Enterprise Account Executive (Houston)

Houston, TX · On-site

$300 - $350/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

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI) * Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems * Familiarity ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases. * Experience with Retrieval-Augmented Generation (RAG), multi ...

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

... LangGraph, AutoGen) - with the expectation that the right candidate brings familiarity with the broader and rapidly evolving ecosystem. The ideal candidate brings deep hands-on engineering experience ...

Fervo Energy

Agentic AI Engineer

Houston, TX · On-site

LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel * Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs ...

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Showing results 21-40

All JobsLanggraph JobsLanggraph Jobs in Spring, TX

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:

Langgraph jobs near you
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 Developer / Architect

Digital Minds Global Technologies Inc.

Houston, TX • On-site

$65 - $68/hr

Other

Posted 15 days ago

Job description

Job Description: AI Architect

Work location:  Houston, TX

Workplace: Houston, TX- Onsite

Rate: $65-68/hr

Position Overview:

We are looking for an experienced AI Architect to lead the integration of artificial intelligence capabilities into customer applications, including enterprise systems, products, and cloud infrastructures. The ideal candidate will bring expertise in designing, developing, and implementing AI solutions such as chatbots, AI automation, Agentic AI and other cutting-edge use cases. This role requires a deep understanding of Gen AI tools, frameworks, and technologies, as well as a strong ability to collaborate with cross-functional teams to deliver impactful solutions for our clients.

Key Responsibilities:

  • Lead the design and architecture of AI-driven solutions for customer applications, including chatbots, recommendation engines, and Agentic AI & automation tools.
  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Evaluate and implement AI frameworks, libraries, and platforms to align with business and technical requirements.
  • Develop scalable and secure AI pipelines and workflows that integrate seamlessly with existing enterprise systems and cloud infrastructures.
  • Collaborate with product managers, Client Architects, developers, and stakeholders to identify AI opportunities and define technical strategies.
  • Guide the selection and use of machine learning algorithms, natural language processing (NLP), computer vision, or other Gen AI technologies as needed.
  • Ensure compliance with data security, privacy, and ethical guidelines in all Gen AI & ML implementations.
  • Stay current with advancements in AI tools (Gen AI & ML) and technologies and recommend their integration into the organization''''s toolkit.
  • Provide technical leadership and mentorship to development teams working on AI projects.
  • Prepare comprehensive documentation and architecture diagrams for implemented solutions.

Qualifications:

  • Proven experience as an AI Architect or in a similar role, with a strong portfolio of successfully delivered AI/Gen-AI solutions.
  • Proficiency in AI tools and platforms such as TensorFlow, PyTorch, OpenAI, Hugging Face, Google AI, or similar.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Strong programming skills in Python, R, or Java, with experience in API development and integration.
  • Knowledge of tools like LangChain, LangGraph, LangSmith, Semantic Kernal
  • Knowledge of cloud platforms (Azure, AWS, Google Cloud Platform) and their AI/ML offerings.
  • Familiarity with enterprise application development and full-stack technologies.
  • Experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Solid understanding of AI ethics, data governance, and security best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Bachelor''''s or Master''''s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications:

  • Certifications in AI/ML from platforms like AWS, Azure, or Google Cloud.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles with the ability to translate business needs into technical solutions.

Apply