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Python Llm Jobs in California (NOW HIRING)

Straive

LLM Engineer

San Francisco, CA · On-site +1

As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and ... Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

Strong proficiency in Python * Proficiency using coding agents such as Claude Code * Experience with Agent Evals * Deep understanding of LLM architectures, prompting techniques, and their ...

Bellagent

Head of Engineering / Tech Lead

Los Angeles, CA · On-site

$110.40K - $145.50K/yr

Python * LLM-based engineering and AI systems * Vector databases (Pinecone or similar) * LangChain, LangGraph, or comparable frameworks * Bonus: * MCP Engineering (Claude or similar ecosystems)

ZS

Senior AI Engineer

South San Francisco, CA · On-site

$135K - $150K/yr

The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and ...

Simple Solutions

Sr Applied LLM Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Sr. Applied LLM Engineer Qualifications * Bachelor's or Master's degree in Computer Science ... Building APIs from the ground up using Python frameworks such as FastAPI and Django * Deploying and ...

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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.
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Python Llm jobs near you

Data Scientist (Python | LLM | AWS)

Purple Drive Technologies

Los Angeles, CA • On-site

Full-time

Posted 24 days ago

Job description

Overview:
Role Summary:
We are seeking an experienced Data Scientist with hands-on expertise in analytics, machine learning, and cloud technologies. The ideal candidate will design and implement data-driven solutions using Python, AWS, and modern DevOps tools, while collaborating with business teams to deliver actionable insights-preferably within the healthcare domain.
Key Responsibilities:
  • Develop and deploy predictive models for classification, regression, NLP, and deep learning use cases.
  • Work on large language model (LLM) applications and data pipelines.
  • Analyze structured and unstructured data to derive insights and recommendations.
  • Collaborate cross-functionally to translate business needs into data science solutions.
  • Implement workflows using CI/CD, Docker, and Terraform for scalable deployment.
  • Maintain GitHub repositories and contribute to reusable data science assets.
  • Build and visualize data stories to communicate findings to stakeholders.

Required Skills & Experience:
  • Strong proficiency in Python (end-to-end data workflows).
  • Experience with LLMs, NLP, and deep learning frameworks.
  • Familiarity with AWS services such as Bedrock, DynamoDB, S3, and Fargate.
  • Experience with Docker, Terraform, and Infrastructure as Code.
  • Exposure to Node.js, React, and modern web technologies.
  • Solid database and SQL knowledge.
  • Strong communication and storytelling skills.
  • Prior experience in healthcare or healthcare sales preferred.

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