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Langgraph Jobs in Spring, TX (NOW HIRING)

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 ...

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

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 ...

Senior 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 ...

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 ...

Agentic AI, AI & Data Science Engineer

Houston, TX · On-site

$109K - $131K/yr

LangGraph) to include: Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search ...

New

Principal AI/ML Software Engineer

Houston, TX · On-site

$124K - $167K/yr

... LangGraph, LangChain, AutoGen, CrewAI) ? • Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems • Familiarity with big data tools (Spark ...

New

LangChain / LangGraph / LLM orchestration frameworks * Cloud platforms ( Azure, AWS, GCP, Azure OpenAI ) * Power BI, Tableau , or similar tools * Understanding of responsible AI, governance, and data ...

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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 are popular job titles related to Langgraph jobs in Spring, TX? For Langgraph jobs in Spring, TX, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Senior AI Language Model Engineer

Senior AI Language Model Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Re-posted yesterday


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX.
Essential Job Responsibilities
  • End-to-end design, research, development, and deployment of language engineering use cases, with continuous client engagement and collaboration.
  • Hands-on development in a shared codebase with the team. Back-end engineering with AWS, Terraform, etc. Working front-end proficiency when needed.
  • Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability.
  • Fine-tune and optimize multi-agentic systems to satisfy use case requirements.
  • Work with domain experts to assess model quality.

Qualifications:
  • PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Very strong proficiency in Python, with hands-on experience using version control systems.
  • Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.
  • 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-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), with the ability to design, build, and deploy end-to-end AI agents and orchestration pipelines.
  • Familiarity with cloud platforms such as AWS (EC2, S3, SageMaker, Bedrock, etc.) through projects.
  • Strong communication skills for collaborating with teams and presenting technical results.

Additional Desired Qualifications:
  • Familiarity with any front-end development (e.g., React) to build user-facing applications.
  • Ability to end-to-end develop and deploy full-stack applications - from data ingestion and model development through back-end APIs to front-end interfaces - in addition to the core data science and ML work.
  • Experience with database systems (SQL and/or NoSQL) and data pipeline orchestration tools (e.g., Step Functions).
  • Experience working in fast-paced, startup-like, or R&D-heavy environments.

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US