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Llm Jobs in Texas (NOW HIRING)

Koch Industries

Senior LLM Engineer

Austin, TX · On-site

$195K - $255K/yr

Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

Autonomize AI

ML/LLM Engineer - Applied AI

Austin, TX · On-site

They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and unstructured data for decision-making in high-stakes domains. Responsibilities : • Own ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

LLM Agent Development : Design, train, and deploy conversational and task-specific AI agents leveraging cutting-edge LLM architectures and tool integrations. * RAG Pipelines : Build and optimize ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

LLM Agent Development : Design, train, and deploy conversational and task-specific AI agents leveraging cutting-edge LLM architectures and tool integrations. * RAG Pipelines : Build and optimize ...

CA-One Tech Cloud Inc.

FDE with LLM

Dallas, TX · On-site

FDE with LLM Dallas, NJ, Charlotte Onsite Key Responsibilities * Enterprise Integration & Architecture: Design, build, and maintain production-ready microservices using Java and Spring Boot , with ...

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$78K

$130.9K

$166.9K

How much do llm jobs pay per year?

As of Sep 5, 2026, the average yearly pay for llm in Texas is $130,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $144,500.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.
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Llm jobs near you
Infographic showing various Llm job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $130,863 per year, or $62.9 per hour.

LLM Optimization & Evaluation

Info Way Solutions

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Info Way Solutions is seeking a highly skilled LLM Optimization & Evaluation Specialist to design, optimize, and evaluate large language model systems in production. This role focuses on prompt optimization, RAG tuning, inference efficiency, and modern evaluation frameworks to ensure high-quality, scalable, and cost-effective GenAI solutions.
Qualifications:
Required:
• highly skilled LLM Optimization & Evaluation Specialist
• design, optimize, and evaluate large language model (LLM) systems in production
• prompt optimization
• RAG tuning
• inference efficiency
• modern evaluation frameworks
• hands-on experience with LLM-as-a-Judge evaluators
• hands-on experience with RAG pipelines
• hands-on experience with observability
• hands-on experience with enterprise-grade GenAI systems
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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