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Python Llm Jobs in Gilroy, CA (NOW HIRING)

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch. * Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.

Relanto, Inc.

Full Stack AI Engineer

San Jose, CA · On-site

Someone who has built LLM applications in production, not just prototypes. Must have * Strong Python -- async, FastAPI or similar * Strong TypeScript/Node * Next.js and React, including streaming UI ...

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All JobsPython Llm JobsPython Llm Jobs in Gilroy, CA

Python Llm information

See Gilroy, CA salary details

$13

$62

$91

How much do python llm jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python llm in Gilroy, CA is $62.04, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $70.48 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.

What are the most commonly searched types of Python Llm jobs in Gilroy, CA? The most popular types of Python Llm jobs in Gilroy, CA are:
What are popular job titles related to Python Llm jobs in Gilroy, CA? For Python Llm jobs in Gilroy, CA, the most frequently searched job titles are:
What cities near Gilroy, CA are hiring for Python Llm jobs? Cities near Gilroy, CA with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Gilroy, CA as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $129,035 per year, or $62 per hour.

Python Developer-F2F Interview

Vkore Solutions

San Jose, CA • On-site

$59 - $81.25/hr

Contractor

Re-posted 14 days ago

Job description

Python developer the following expertise
1. Expertise in developing production level code utilizing OOPs concepts,
2. Experience in developing FASTAPI services,
3. Expertise in managing code quality,
4. expertise in optimizing performance
5. experience in code commit and versioning frameworks like BitBucket, GitHub
6. Expertise in Databases like MongoDB, Elastic search, Redis
7. Expertise in logging and dashboarding
8. Understanding LLM, BERT Models (Good to have)
9. Any development experience in developing workflow automation systems