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Python Llm Jobs (NOW HIRING)

Diversity Nexus

Python developer with LLM

San Jose, CA · On-site

$59 - $81.25/hr

Diversity Nexus is seeking a Python Developer with strong LLM knowledge. The role requires strong Python development and debugging skills, with an emphasis on machine learning tools and possibly ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such ...

Staffingine LLC

AI/ML Tech lead

Nashville, TN · On-site

Expert in Python * LLM Concepts * RAG Architecture * MS OpenAI * GPT40 41 * O3 Mini Mandatory Skills : Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt ...

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How much do python llm jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python llm in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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.

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Python Llm jobs near you
Infographic showing various Python Llm job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 89% Full Time, 4% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Sr. Java Developer with Python & LLM

Charlotte, NC • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

Contractor

Re-posted 12 days ago

Job description

Title: Sr. Java Developer with Python & LLM
Location: Charlotte, NC
Position type: W2 contract
 
 
Job Description:
 
We are seeking a talented Java Developer with hands-on experience in Python and exposure to Large Language Models (LLMs) to join our development team.
The ideal candidate will be responsible for designing, developing, and maintaining scalable applications primarily in Java, while also contributing to Python-based services and AI/LLM-powered features.
This role requires strong backend development skills, problem-solving ability, and an interest in modern AI-driven application development.
 
Responsibilities:
  • Design, develop, test, and maintain robust backend applications using Java.
  • Build and enhance APIs, microservices, and enterprise-grade applications.
  • Collaborate on Python-based components, scripts, and AI integrations where required.
  • Work on integrating LLM-powered features such as chatbots, document processing, summarization, or intelligent search.
  • Develop and consume RESTful APIs and third-party services.
  • Optimize application performance, scalability, and reliability.
  • Participate in system design, code reviews, debugging, and troubleshooting.
  • Collaborate with cross-functional teams including product managers, data engineers, and AI/ML teams.
  • Ensure code quality through unit testing, integration testing, and best development practices.
  • Stay updated with emerging technologies in backend development, Python ecosystems, and AI/LLM frameworks.
Requirements:
  • Strong proficiency in Java and object-oriented programming concepts.
  • Experience with Spring Boot, Hibernate, and REST API development.
  • Working knowledge of Python for scripting, automation, or service development.
  • Familiarity with LLMs and AI concepts, including prompt-based application development.
  • Experience integrating external APIs or AI services into applications.
  • Good understanding of databases such as MySQL, PostgreSQL, or MongoDB.
  • Knowledge of Git, Maven/Gradle, and software development best practices.
  • Understanding of microservices architecture and distributed systems.
  • Strong analytical, debugging, and problem-solving skills.