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Llm Developer 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 ...

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

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... LLM developer tooling is a plus • Experience with agent evaluation, guardrails, permissions, and human-in-the-loop patterns for production AI systems • Ability to thrive in a fast-changing ...

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 ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX

$113K - $136K/yr

Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails, permissions, and ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails, permissions, and ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails, permissions, and ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

Agentic AI & LLM Engineering * Design and build agentic AI systems and multi‑agent frameworks that automate complex, multi‑step enterprise workflows. * Develop and deploy LLM‑powered ...

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Llm Developer information

See Texas salary details

$23

$46

$74

How much do llm developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for llm developer in Texas is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $56.68 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are the most commonly searched types of Llm Developer jobs in Texas?

The most popular types of Llm Developer jobs in Texas are:

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For Llm Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Llm Developer jobs in Texas look for?

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What cities in Texas are hiring for Llm Developer jobs?

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $97,212 per year, or $46.7 per hour.

AI/LLM Developer/Engineer (Kubernetes & OpenShift)

3B Staffing LLC

Houston, TX • Remote

Full-time

Posted 11 days ago

Job description

AI/LLM Developer/Engineer (Kubernetes & OpenShift)

Duration: 12+ months / Long-Term (yearly renewals)

Location: Remote (Must reside in the US)

We're seeking a highly skilled AI/LLM Toolkit Developer to join a long-term remote contract engagement focused on building a cutting-edge enablement solution for technical support teams.

This role involves developing a comprehensive toolkit that leverages AI agents and large language models (LLMs) with retrieval-augmented generation (RAG) to streamline onboarding and reduce reliance on complex documentation.

What You'll Build:

You'll design and implement a robust, AI-powered toolkit that empowers support teams to manage and troubleshoot hybrid environments with ease. The toolkit will cover:

Kubernetes Foundations: Core concepts like pods, deployments, services, namespaces, limits, eviction policies, and network policies.

Virtualization Layer: Deep dive into OpenShift Virtualization and KVM-based VM management.

Mixed Workloads: Best practices for managing VMs and containers on a unified platform.

Containerization: Communication and coordination between VMs and containers, including useful container tools.

Resource Management: Efficient handling of CPU, memory, and storage for both VMs and containers.

Networking: Kubernetes networking, User Defined Networks (UDNs), and F5 SPK integration.

Storage: Persistent volume frameworks, tuning storage traffic, fault tolerance, and database replication strategies.

Live Migration: Seamless VM migration with minimal downtime, including database and storage considerations.

Automation & Orchestration: Automating provisioning, deployment, and scaling in a Webscale environment.

Troubleshooting & Maintenance: Diagnosing issues, analyzing logs, and applying software updates.

Configuration & Customization: Tailored networking and storage solutions to meet specific use cases.

High Availability: Strategies for fault tolerance and resilient application design across various workloads.

Ideal Candidate:

Strong experience with Kubernetes, OpenShift 4.18, and virtualization technologies

Familiarity with AI/LLM integration, especially RAG-based systems

Proven ability to create technical enablement tools and documentation

Comfortable working independently in a remote, contract-based environment

Work Environment:

Remote-first: Work from anywhere

Long-term contract: Stability with flexibility

Impactful work: Help shape how support teams onboard and operate at scale

Apply