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Python Llm Jobs in Frisco, TX (NOW HIRING)

Python LLM Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Role Python LLM Developer Location: Irving, TX ( day1 onsite, hybrid ) Python LLM Python LLM: Should have very strong in-depth knowledge in Python Programming Programming Fundamentals: Proficiency in ...

Python - Tools SME

Irving, TX · On-site

$48.25 - $66.50/hr

Azure OpenAI ChatGPT models integration. * prompt engineering for LLM model. Must Have: * Proficient in Python and have at least 10 years of relevant programming experience. * Should have basic ...

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 Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming ...

Python + AI

Addison, TX · On-site

$65 - $75/hr

... building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI , along with ML deployment using Docker, Kubernetes, MLFlow, and Kubeflow . Applicants must be able to work ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) Fulltime Must Have ... You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI ...

Python Developer

Irving, TX · On-site

$90K - $110K/yr

Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming ...

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Python Llm information

See Frisco, TX salary details

$12

$54

$80

How much do python llm jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python llm in Frisco, TX is $54.87, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $62.31 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 popular job titles related to Python Llm jobs in Frisco, TX? For Python Llm jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Frisco, TX look for? The top searched job categories for Python Llm jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Python Llm jobs? Cities near Frisco, TX with the most Python Llm job openings:
Infographic showing various Python Llm job openings in Frisco, TX as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $114,121 per year, or $54.9 per hour.
Python LLM Developer

$48.25 - $66.50/hr

Other

Posted 4 days ago


Job description

Role Python LLM Developer

Location: Irving, TX ( day1 onsite, hybrid )

Python LLM

Python LLM: Should have very strong in-depth knowledge in Python Programming

Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI.

AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy.

API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services.

Data Management: Skills in collecting, preprocessing, and handling datasets.

AI Concepts: Familiarity with concepts like machine learning, supervised and unsupervised learning, and foundational algorithms.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.

Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.

Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.

Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.