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Python Llm Jobs in Dallas, TX (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$95K - $105K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Genesis10

AI/ML Engineer - Hybrid

Plano, TX · Hybrid

$63.68 - $71.68/hr

Proven experience deploying LLM-powered production systems * Strong experience with Python ML/AI frameworks such as PyTorch, TensorFlow, and Scikit-learn * Hands-on experience with vector databases ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

Vistra Corp

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem ...

Luminant

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem ...

Vst

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem ...

Vistra Corp.

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/yr

Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem ...

Vistra Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python llm in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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 Dallas, TX? The most popular types of Python Llm jobs in Dallas, TX are:
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Python Llm jobs near you
Sr Java Full Stack Engineer AI & AWS, Python

Sr Java Full Stack Engineer AI & AWS, Python

InfoVision, Inc.

Irving, TX

Other

Posted 17 days ago

Job description

Job title: Sr Full Stack Engineer – Generative AI & AWS, Python

Location: Irving, TX

Duration: Long-term

Role Summary:

We are seeking a Full Stack Developer – AI & Cloud to design, build, and deploy scalable enterprise applications at the intersection of Java/Python server-side development, AWS cloud services, and AI/LLM edge deployments.

Required Qualifications:

  • 12+ years of full stack development experience with strong server-side proficiency in Java (Spring Boot) and Python.
  • Telecom Industry experience is a must.
  • Hands-on experience building and deploying microservices on AWS, including services such as Lambda, ECS, API Gateway, and SageMaker.
  • Demonstrated experience fine-tuning LLM models using Hugging Face Transformers, PEFT, or LoRA.
  • Proven ability to deploy and optimize LLM inference on edge devices (CPU/edge GPU) using runtimes such as Ollama, llama.cpp, or ExecuTorch.
  • Proficiency with containerization and orchestration tools including Docker and Kubernetes.
  • Strong understanding of RESTful API design, event-driven architectures, and distributed microservices patterns.

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