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Python Llm Jobs (NOW HIRING)

Scalence L.L.C.

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 ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $105K/yr

Python. * LLM Basics * RAG * Systems Design and Engineering * Ability to design a fault tolerant production system. * APIs, Agile Nice to Have: * Java, Jira, Microsoft Office * Experience with ...

InterSources Inc

Python Developer

Fremont, CA · On-site

$55.25 - $76/hr

InterSources Inc is seeking a Python Developer to design, develop, and optimize Python applications with a focus on LLM integration and deployment. The role involves building deep learning models ...

InterSources Inc

Python Developer

Fremont, CA · On-site

$55.25 - $76/hr

InterSources Inc is seeking a Python Developer to design, develop, and optimize Python applications with a focus on LLM integration and deployment. The role involves building deep learning models ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

LLM-Powered Agents * LangChain / LangGraph / LlamaIndex * Intent Classification * Agentic ... Async Python * Parallel LLM & API Orchestration * SQL & Large Analytical Datasets * Azure / AWS ...

Marencor

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 ...

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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.

Python + AI

Addison, TX • On-site

Scalence L.L.C.
See more jobs at Scalence L.L.C.external

$48.75 - $67/hr

Full-time

Re-posted 3 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.

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