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Python Llm Jobs in Los Angeles, CA (NOW HIRING)

Hiring Alert | AI/ML Engineer - Generative AI, LLM & ML Engineering Location: Woodland Hills, CA ... Expert-Level Python * Machine Learning, Model Training, Evaluation & Fine-Tuning * Generative AI ...

Expertise in Prompt Engineering, RAG, Agents, and LLM workflows * Strong programming skills in Python * Experience with frameworks/tools like LangChain, LlamaIndex, LangGraph, OpenAI APIs * Hands-on ...

AI Technical Lead

Los Angeles, CA · On-site

$180 - $240/hr

Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems ... Lead, mentor, and inspire a specialized team of Python and TypeScript engineers. * Drive delivery ...

AI Technical Lead

Irvine, CA · On-site

$180 - $280/hr

Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems ... Lead, mentor, and inspire a specialized team of Python and TypeScript engineers. * Drive delivery ...

Handson experience with LLM frameworks and tools like LangChain LlamaIndex etc * Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience with one or more ...

... tools - primarily using Python frameworks like Streamlit - to streamline financial analysis ... LLM-powered features, RAG, agents, intelligent automation) Coach financial analysts on where and ...

Python, SQL, JavaScript/TypeScript * AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache Airflow * Cloud & DevOps: AWS, Azure, GCP, Docker ...

Python, SQL, JavaScript/TypeScript * AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache Airflow * Cloud & DevOps: AWS, Azure, GCP, Docker ...

... tools - primarily using Python frameworks like Streamlit - to streamline financial analysis ... LLM-powered features, RAG, agents, intelligent automation) Coach financial analysts on where and ...

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Python Llm information

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$92

How much do python llm jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python llm in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 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 Los Angeles, CA?

The most popular types of Python Llm jobs in Los Angeles, CA are:

What job categories do people searching Python Llm jobs in Los Angeles, CA look for?

The top searched job categories for Python Llm jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Python Llm jobs?

Cities near Los Angeles, CA with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.

Senior Data Scientist (12+ years must)

Saransh Inc

Woodland Hills, CA • On-site

Contractor

Re-posted 23 days ago


Job description

Role: Senior Data Scientist
Location: Woodland Hills, CA (Onsite from Day 1)
Job Type: Contract
 
Required Experience: 12 to 15 years
 
Must Have Skills:
  • 7+ Years Exp - AI agent architectures, LLMs, NLP developing A2A Protocols and Model Context Protocols (MCP)
  • 7+ Years Exp - LLMs and NLP models (e.g., medical BERT, BioGPT)
  • 7+ Years Exp - retrieval-augmented generation (RAG)
  • 7+ Years Exp - coding experience in Python, with proficiency in ML/NLP libraries
  • 7+ Years Exp - healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats.
  • 7+ Years Exp - AWS, Azure, or GCP including Kubernetes, Docker, and CI/CD
  • Need technically strong candidates
 
Preferred Qualifications:
  • Deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval.
  • Prior work on LLM-based agents in production systems or large-scale healthcare operations.
  • Experience with voice AI, automated care navigation, or AI triage tools.
  • Published research or patents in agent systems, LLM architectures, or contextual AI frameworks.