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Python Llm Jobs in Texas (NOW HIRING)

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

Responsibilities : • building LLM-based applications • building RAG pipelines • building AI APIs using Python and FastAPI • ML deployment using Docker • ML deployment using Kubernetes • ...

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer Location: Dallas, TX * 5+ years of experience programming with Python. * 1+ years ... Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ...

Python + AI Lead

Dallas, TX · On-site

$139K - $170K/yr

Python + AI Lead Location: Dallas, TX (Hybrid) Hire Type: W2 Only Minimum Qualifications * · 10+ ... LLM-powered system to production and supporting it through its life cycle. * · Practical ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ... The developer must be able to create LLM-powered agents with dynamic decision-making, compose ...

Python Full Stack Developer Dallas, TX (Onsite) W2 Only Highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based applications. Qualifications * 15 ...

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 ...

ClifyX is a company specializing in AI-driven solutions, and they are seeking a Python GenAI Model ... Weights & Biases, MLflow, OpenAI evals, LLM-as-a-judge pipelines. Company : ClifyX provides ...

Python + AI Lead || Dallas, Texas

Dallas, TX · On-site

$139K - $170K/yr

... Python development. * Production AI Delivery: Proven track record of delivering at least one ... LLM Application Stack: Deep experience in prompt engineering, Retrieval-Augmented Generation (RAG ...

New

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 ...

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 ...

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 ...

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python / GenAI Developer (Junior & Senior Roles Available) Location: Dallas, TX Position Overview ... LLM Integration: Fine-tune, evaluate, and deploy Generative AI models for automated financial ...

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Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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

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

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

The top searched job categories for Python Llm jobs in Texas are:

What cities in Texas are hiring for Python Llm jobs?

Cities in Texas with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Texas as of September 2026, with employment types broken down into 2% Internship, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Python + AI

Addison, TX • On-site

$48.75 - $67/hr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Scalence L.L.C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes, MLFlow, and Kubeflow.
Responsibilities:
• building LLM-based applications
• building RAG pipelines
• building AI APIs using Python and FastAPI
• ML deployment using Docker
• ML deployment using Kubernetes
• ML deployment using MLFlow
• ML deployment using Kubeflow
Qualifications:
Required:
• AI/Gen AI - 60%
• Python - 25%
• ML - 15%
• building LLM-based applications
• RAG pipelines
• AI APIs using Python and FastAPI
• ML deployment using Docker
• Kubernetes
• MLFlow
• Kubeflow
• Applicants must be able to work directly for Artech on W2
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.