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Python Llm Jobs in Lancaster, SC (NOW HIRING)

PB consulting

Senior Site Reliability Engineer

Weddington, NC · On-site

$53.25 - $70.75/hr

Strong Python and Bash scripting skills. * Must have experience using Claude AI or similar AI/LLM tools for pipeline troubleshooting. * Strong incident management and production support experience.

PB consulting

Senior Site Reliability Engineer

Fort Mill, SC · On-site

$50 - $66.50/hr

Strong Python and Bash scripting skills. * Must have experience using Claude AI or similar AI/LLM tools for pipeline troubleshooting. * Strong incident management and production support experience.

1 point system

AI Pricing Analyst

Rock Hill, SC · Remote

Does not need SQL, Python, or AI build experience at all. * Technical depth would come more from knowledge of AI platforms - cloud cost structures, compute costs, token costing, inference, LLM cost ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python llm in Lancaster, SC is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $56.78 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.

Python Llm jobs near you

Full Stack AI/ML Engineer (Python + AI/ML)

Fort Mill, SC • On-site

Javen Technologies, Inc
11 - 50 employees
Learn more about Javen Technologies, Incexternal

Other

This job post has expired today. Applications are no longer accepted.

Job description

If you are interested in below position, please send your resume.

Full Stack AI/ML Engineer – Longterm  | Fort Mill, SC – Hybrid

We’re looking for a highimpact AI/ML Engineer who can build real, productionready AI features—not just prototypes. You’ll work across the stack using React, Python, LLMs, RAG, Cloud, APIs, and modern engineering practices to deliver enterprisegrade AI solutions.

What You’ll Work On
  • 13+ years of Experience

  • Build and deploy AI-powered features and agentic workflows for large-scale enterprise apps

  • Develop RAG pipelines, improve grounding, and boost LLM response accuracy

  • Create scalable APIs, backend services, and production ML pipelines

  • Work with LLMs, prompt engineering, evaluation frameworks, and model benchmarking

  • Optimize systems for performance, latency, scalability, reliability, and cost

  • Collaborate in architecture discussions, code reviews, and Agile teams

  • Explore emerging AI tech and help shape next-gen enterprise AI capabilities

What You Bring

  • Strong experience building AI/ML applications in production

  • Deep Python skills + hands-on API development

  • Experience with LLMs, RAG, prompt engineering, and ML model deployment

  • Familiarity with React or modern front-end frameworks

  • Cloud experience (AWS/Azure/Google Cloud Platform) and understanding of MLOps, CI/CD, monitoring

Apply