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Python Llm Jobs (NOW HIRING)

Purple Drive

Data / ML Platform Engineer (Python)

Tampa, FL

$104.20K - $125.10K/yr

Data / ML Platform Engineer (Python, LLM Pipelines, Batch Processing) Job Summary We are looking for a Data / ML Platform Engineer to design and manage Python-based batch pipelines for evaluating ...

Tror AI for everyone

Gen AI ML Engineer

Charlotte, NC · On-site

... in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ADK, Agentic AI • Hands on experience delivering 3-4 end to end Production projects • Good communication skills and able to ...

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 Jun 1, 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 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.
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Python Llm jobs near you
Infographic showing various Python Llm job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

GenAI Application Engineer (Python & LLM Prompt Engineering)

Yantran LLC

Austin, TX • Hybrid

Other

Posted 27 days ago

Job description

Job Title:
GenAI Application Engineer (Python
LLM Prompt Engineering)
Location:
Austin, TX (Day 1 onsite, 3 days a week)
Salary Range: *** to 125,000/Annual
for Vendors: *** ***/hr CTC
Job Summary:
We are seeking a highly skilled and motivated GenAI Application Engineer to join our team in Austin, TX. The ideal candidate will have hands-on experience in building and deploying Generative AI applications using Python, with a strong foundation in LLM prompt engineering, RAG pipelines, and vector database integration. This role involves working closely with cross-functional teams to design, develop, and optimize AI-driven solutions that enhance user experience and operational efficiency.
Key Responsibilities:
Design and develop GenAI-powered applications using Python and modern AI frameworks.
Engineer and optimize prompts for LLMs.
Implement Retrieval-Augmented Generation (RAG) pipelines aggregating data from diverse sources such as conversation histories and product documentation
Integrate and manage vector databases for semantic search and context retrieval.
Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
Fine-tune pre-trained LLMs for domain-specific tasks and performance improvements.
Ensure robust testing, monitoring, and documentation of AI models and pipelines.
Required Skills:
Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
Agentic AI
Strong understanding of LLMs, prompt engineering, and RAG architecture.
Experience with vector databases
Familiarity with cloud platforms
Regards, ***. "*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions."

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