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Python Llm Jobs in Fremont, CA (NOW HIRING)

SolGenie

Senior Full Stack AI Developer

San Jose, CA · On-site

Senior Full Stack AI Developer (React/Next.js + Python + LLM) Location: Santa Clara, CA (Onsite) Duration: 9+ Months Employment Type: W2 or Independent Contractor (No C2C through third-party vendors ...

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the Backend LLM Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

ClinDCast LLC

Python Backend Engineer

Sunnyvale, CA · 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 ...

EPAM Systems

Junior Python AI Developer

Sunnyvale, CA · On-site

$59.75 - $82.50/hr

We're looking for a motivated Junior Python AI Developer to help build, deploy, and optimize AI ... integrations LLM Fundamentals: Understanding of prompts, context management, tool usage, model ...

New

ZS

Senior AI Engineer

South San Francisco, CA · On-site

$125K - $138K/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 ...

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

Proficiency in Python and C++ * Experience with CUDA programming and GPU optimization Nice-to-Have: * Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM

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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:
Python Llm jobs near you

Senior Full Stack AI Developer

SolGenie

San Jose, CA • On-site

Contractor

Posted 28 days ago

Job description

We have a contract opportunity for Senior Full Stack AI Developer (Onsite) with one of our clients. Detailed job descriptions is provided below.
Title: Senior Full Stack AI Developer (React/Next.js + Python + LLM)
Location: Santa Clara, CA (Onsite)
Duration: 9+ Months
Employment Type: W2 or Independent Contractor (No C2C through third-party vendors)
Visa Eligibility: US Citizens and Green Card Holders only
Must-Have Skills:
  • 7+ years of Full Stack Development experience.
  • Strong hands-on experience with React, Next.js, and TypeScript (Mandatory).
  • Experience building production-grade Full Stack applications.
  • Strong backend development experience with Node.js and/or Python (FastAPI preferred).
  • Experience designing and consuming REST APIs and/or GraphQL.
  • Hands-on experience integrating LLM APIs (OpenAI, Claude, Gemini, NVIDIA NIM, etc.).
  • Experience with streaming AI responses using Server-Sent Events (SSE) or WebSockets.
  • Experience implementing AI chat interfaces or conversational applications.
  • Strong understanding of multi-tenant SaaS architecture, Row-Level Security (RLS), and application scalability.
  • Experience building multi-step AI workflows, conversation state management, and tool/function calling.
  • Experience rendering structured JSON outputs in frontend applications.
  • Strong knowledge of responsive UI development, accessibility, and performance optimization.

Technical Skills:
  • Frontend: React, Next.js, TypeScript, Vercel AI SDK
  • Backend: Node.js, Python, FastAPI, REST APIs, GraphQL, SSE
  • AI/ML: LLM Integration, RAG, Nemotron, Structured JSON Generation
  • Cloud: AWS / Azure / GCP
  • Databases: PostgreSQL, pgvector, Redis
  • DevOps: Docker, GitHub Actions

Nice to Have:
  • LlamaIndex
  • LangChain
  • Model Context Protocol (MCP)
  • Vercel AI SDK

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