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Python Llm Jobs in California (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.

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.

Expleo

Dataiku Consultant

Los Angeles, CA

Maîtrise de Python et des bibliothèques de traitement de données (Pandas, NumPy). * Expérience dans la mise en œuvre de solutions basées sur Dataiku LLM Mesh ou technologies similaires. * Bonne ...

Expleo

Dataiku Consultant

Los Angeles, CA

Maitrise de Python et des bibliotheques de traitement de donnees (Pandas, NumPy). * Experience dans la mise en uvre de solutions basees sur Dataiku LLM Mesh ou technologies similaires. * Bonne ...

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Python Llm information

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.

What are the most commonly searched types of Python Llm jobs in California? The most popular types of Python Llm jobs in California are:
What are popular job titles related to Python Llm jobs in California? For Python Llm jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in California look for? The top searched job categories for Python Llm jobs in California are:
What cities in California are hiring for Python Llm jobs? Cities in California with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in California as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
Senior Full-Stack Engineer - LLM-Powered Code Review PoC

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

Fuku

San Francisco, CA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

NexaFlow is building a next-generation code review tool powered by large language models. We are seeking a Senior Full-Stack Engineer to lead the development of a proof-of-concept prototype that integrates LLM-based analysis into existing CI/CD workflows.
Responsibilities:

  • D
    • esign and implement a full-stack application that integrates LLM APIs (OpenAI/Anthropic) for automated code review.
  • B
    • uild webhook-based integrations with GitHub/GitLab to automatically analyze pull requests.
  • D
    • evelop a hybrid analysis pipeline combining LLM reasoning with static analysis for bug detection, security vulnerability identification, and code quality enforcement.
  • C
    • reate a configurable rule engine allowing per-repository custom review policies.
  • B
    • uild a dashboard displaying review statistics, trends, and actionable insights.
  • C
    • ontainerize the entire solution with Docker for easy self-hosted deployment.
  • O
    • wn the full lifecycle from architecture design through deployment and documentation.
    Requirements:
  • 5
    • + years of professional full-stack development experience.
  • S
    • trong experience integrating LLM APIs (OpenAI GPT-4, Anthropic Claude) into production systems.
  • H
    • ands-on experience with CI/CD pipeline integration (GitHub Actions, GitLab CI).
  • P
    • rior work building code review tools, linters, or static analysis systems.
  • P
    • roficiency in Python (FastAPI) or Node.js for backend; React or Vue for frontend.
  • E
    • xperience with Docker containerization and self-hosted deployment.
  • A
    • bility to work independently across the full stack from architecture to deployment.
  • S
    • trong communication skills for async collaboration.
    Nice to Have:
  • E
    • xperience with RAG (Retrieval-Augmented Generation) architectures.
  • F
    • amiliarity with CodeQL, Semgrep, or similar static analysis tools.
  • P
    • revious startup or PoC-stage project experience.
  • C
    • ontributions to open-source developer tools.
    Additional Information:
  • T
    • his is a contract/consulting engagement, not a full-time employee role.
  • W
    • e value flexibility and outcome-driven collaboration.
  • R
    • emote-friendly with a preference for candidates in the San Francisco Bay Area.

    Fuku logo

    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

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