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Large Language Model Llm Jobs in Texas (NOW HIRING)

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 ...

Droisys

Principal AI Engineer

Dallas, TX · On-site

This role requires expertise in building and deploying Large Language Model (LLM)-powered, production-grade systems within regulated enterprise environments. You will be responsible for end-to-end ...

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

Design and implement AI-powered applications including large language model (LLM) systems and retrieval-based knowledge applications. * Define architecture patterns that support experimentation ...

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Synechron

Principal AI Engineer

Dallas, TX

$140K - $150K/yr

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140 - $150/hr

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies.* Design and deploy LLM-based applications using ...

Apple

Gate-level IR/EM CAD/NLP Engineer

Austin, TX · On-site

You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM ...

Apple

Gate-level IR/EM CAD/NLP Engineer

Austin, TX · On-site

You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM ...

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Large Language Model Llm information

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with a large language model?

A large language model can be used in roles such as AI content developer, chatbot designer, or natural language processing specialist. These jobs involve tasks like training, fine-tuning models, creating AI-driven applications, and improving language understanding, often requiring skills in programming, data analysis, and machine learning tools.
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Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Texas as of August 2026, with employment types broken down into 100% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

LLM Optimization & Evaluation

Info Way Solutions

Austin, TX • On-site

Full-time

Re-posted 8 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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