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Python Llm Jobs in Fremont, CA (NOW HIRING)

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.

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.

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python llm in Fremont, CA is $64.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.88 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 popular job titles related to Python Llm jobs in Fremont, CA? For Python Llm jobs in Fremont, CA, the most frequently searched job titles are:
What cities near Fremont, CA are hiring for Python Llm jobs? Cities near Fremont, CA with the most Python Llm job openings:

Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Fuku

San Francisco, CA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Title: Senior Full-Stack Engineer (Freelance Contract)
NexaFlow is developing an LLM-powered automated code review tool and is seeking a Senior Full-Stack Engineer to deliver a proof-of-concept (PoC) prototype.
Key Responsibilities:
- Design and implement a PoC system that integrates with CI/CD pipelines.
- Develop an LLM-based analysis engine to review pull requests, identify bugs, security vulnerabilities, and code style issues.
- Post contextual feedback on code reviews.
- Handle the full development lifecycle independently, from architecture design to deployment.
- Build a basic dashboard to display review metrics.
- Provide deployment documentation and 30-day post-launch support.
Requirements:
- 5+ years of full-stack development experience.
- Proficiency in integrating Large Language Models (LLMs) via OpenAI or Anthropic APIs.
- Experience with CI/CD pipelines and code review tool development.
- Ability to work independently and manage the entire project lifecycle.
- Preferred backend technologies: Python (FastAPI) or Node.js.
- Preferred frontend technologies: React or Vue.
- Experience with Docker-based deployment.
Deliverables:
- Working prototype of the automated code review tool.
- LLM-powered review engine with support for custom rules.
- Basic dashboard displaying review metrics.
- Comprehensive deployment documentation.
- 30-day post-launch support.
Additional Information:
- This is a freelance contract position, not a full-time employment opportunity.

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About Fuku

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2015