1

Llm Developer Jobs in Texas (NOW HIRING)

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

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 applications ...

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 applications ...

US-Citizen, H-1B, OPT-EAD, GC-EAD Job Summary: * 10+ years of Software Engineering or ML/LLM Engineering experience with at least 3+ years focused on Artificial Intelligence and Generative AI ...

Experience: 11+ years of software engineering experience, ideally split between heavy backend ... LLM Architectures: Practical experience integrating LLM APIs, building RAG systems, and writing ...

W2 Only We are looking for a highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based applications. ✅ 15+ years of software engineering experience ...

Python LLM Sr. Developer

Dallas, TX · On-site

$120K - $162K/yr

Core Skill: - GenAI (with QLORA, LORA, and PEFT), NLP, LLMs, RAG (with Lang Chain, LlamaIndex) - Model Tuning, Vector Search and Embeddings, Prompt Engineering - Service Oriented and Microservices ...

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented ... Generation (RAG) concepts. * Proficiency in building microservices and integrating them into ...

Strong understanding of LLM models, LLM Engineering architecture and ecosystem, including context, tools, skills, harness etc, with demonstrated delivery. * Bachelor's Degree or higher in Computer ...

AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without future sponsorship. * Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g ...

AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without future sponsorship. * Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g ...

AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without future sponsorship. * Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g ...

next page

Showing results 1-20

Llm Developer information

See Texas salary details

$23

$46

$74

How much do llm developer jobs pay per hour?

As of Jul 20, 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 is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 in the Llm Developer position, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
What are the most commonly searched types of Llm Developer jobs in Texas? The most popular types of Llm Developer jobs in Texas are:
What job categories do people searching Llm Developer jobs in Texas look for? The top searched job categories for Llm Developer jobs in Texas are:
What cities in Texas are hiring for Llm Developer jobs? Cities in Texas with the most Llm Developer job openings:
Infographic showing various Llm Developer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $97,212 per year, or $46.7 per hour.

Python Developer

Marencor

Dallas, TX • On-site

$49.75 - $68.50/hr

Contractor

Posted 10 days ago


Job description

Python Developer

Location: Dallas, TX

  • 5+ years of experience programming with Python.
  • 1+ years of experience in Git and version control.
  • 1+ years of experience with a public cloud
  • 1+ years using Scikit-learn
  • 1+ years of Langchain experience.
  • 1+ years of LLM experience building RAG systems
  • 1+ year experience with vector databases such as MongoDB Atlas or Pinecone
  • Portfolio of LLM applications and sample projects
  • 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup
  • 1+ years of LLM experience building RAG systems at scale (10,000+ documents).
  • 1+ years’ experience in DevOps with GitHub Actions or similar CI/CD tools.
  • 1+ years of writing and deploying microservices
  • 1+ years of Kubernetes experience
  • Strong code refactoring skills
  • Strong debugging skills.
  • Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content