1

Python Llm Jobs in California (NOW HIRING)

Senior Financial Analyst

Los Angeles, CA ยท Hybrid

$120K - $150K/yr

Familiarity with SQL, Python, LLM APIs, or other automation technologies (preferred). * Experience with ERP or BI platforms such as NetSuite, Looker, or Tableau (preferred). * Experience in crypto ...

Python Backend Engineer

Sunnyvale, CA ยท On-site

$60 - $65/hr

We are seeking an experienced Python Backend Engineer to design, develop, and maintain scalable ... Knowledge of AI/LLM integration frameworks such as LangChain or LlamaIndex. Strong experience with ...

We are seeking an experienced Python Backend Engineer to design, develop, and maintain scalable ... Knowledge of AI/LLM integration frameworks such as LangChain or LlamaIndex. * Strong experience ...

$124K - $163K/yr

Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes ... LLM: vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve * AI/GenAI: RAG, LangChain, LangGraph ...

$113K - $148K/yr

Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes ... LLM: vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve * AI/GenAI: RAG, LangChain, LangGraph ...

$127K - $166K/yr

Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes ... LLM: vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve * AI/GenAI: RAG, LangChain, LangGraph ...

$121K - $159K/yr

Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes ... LLM: vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve * AI/GenAI: RAG, LangChain, LangGraph ...

Showing results 21-40

Python Llm information

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 California?

The most popular types of Python Llm jobs in California 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:

Infographic showing various Python Llm job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Senior Financial Analyst

Los Angeles, CA โ€ข Hybrid

SQA Solution
Recruiting and Staffing Servicesย โ€ขย 1 - 10 employees

$120K - $150K/yr

Full-time

Re-posted 3 days ago


Job description

Senior Financial Analyst

Location: Los Angeles, CA; hybrid (onsite 2-3 days/week)

Type: FTE, direct hire

Compensation: $120,000–$150,000/year with equity

We are seeking a Senior Financial Analyst to join the finance team of a growing technology company in the digital assets space. This position will play a key role in financial planning, forecasting, strategic analysis, and business decision support across multiple areas of the organization.

Responsibilities:

  • Lead rolling forecasts, annual planning, and scenario analysis across assigned business areas.
  • Build and maintain financial models to support strategic planning, capital decisions, and new business initiatives.
  • Analyze financial performance, operating metrics, unit economics, and key business drivers to identify trends, risks, and opportunities.
  • Prepare financial reporting, executive presentations, and business review materials for senior leadership.
  • Partner with Product, Engineering, Business Development, and other teams to evaluate investments, pricing, and strategic initiatives.
  • Combine financial, operational, and market data to provide actionable recommendations and support business decisions.
  • Improve recurring FP&A processes through automation, including forecasting, variance analysis, and reporting.
  • Use generative AI and workflow automation tools to streamline financial analysis and reduce manual work.

Qualifications:

  • 4+ years of experience in FP&A, strategic finance, corporate finance, investment banking, or a related field.
  • Advanced financial modeling skills with Excel and/or Google Sheets proficiency.
  • Demonstrated experience using AI tools to support or automate financial analysis and reporting (practical implementation in recurring finance workflows rather than standalone chat-based use).
  • Strong analytical, organizational, and communication skills, including experience presenting financial insights to senior stakeholders.
  • Understanding of Bitcoin, cryptocurrency, or digital asset markets.
  • Experience with workflow automation tools such as n8n, Zapier, Make, or similar platforms (preferred).
  • Familiarity with SQL, Python, LLM APIs, or other automation technologies (preferred).
  • Experience with ERP or BI platforms such as NetSuite, Looker, or Tableau (preferred).
  • Experience in crypto, fintech, or a high-growth startup environment (preferred).
  • CFA, MBA, or another relevant advanced credential is a plus (preferred).