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Python Llm Jobs in Rancho Cordova, CA (NOW HIRING)

Python Developer w/AI Experience

Sacramento, CA · On-site

$54.75 - $75.50/hr

... LLM-based solutions and want to accelerate into advanced AI engineering. You will play a key role ... Strong Python development experience (non-negotiable) * 6-12 months of hands-on AI/ML or LLM ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

AI & HPC Infrastructure Engineer

Sacramento, CA · On-site

$114K - $150K/yr

... Python and modern API patterns such as REST, OpenAPI, JSON/YAML schemas, webhooks, and event-driven integrations. * Experience designing and implementing agentic AI infrastructure, including LLM ...

AI Automation Specialist

Sacramento, CA · On-site

$97.30 - $156.40/hr

Practical experience using AI / LLM tools -- connecting them to workflows, writing effective prompts, and managing integrations. * Python proficiency: scripting, API calls, JSON handling, data ...

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

Proficiency in Python and/or C/C++, with advanced debugging, profiling, and performance tuning ... Strong understanding of AI inference systems, LLM serving architectures, and KV cache optimization.

Proficiency in modern C++ and Python. You are comfortable reading and modifying complex systems-level code. Preferred Qualifications Understanding of CPU/GPU architecture. Understanding of modern LLM ...

AI Infrastructure Engineer

Folsom, CA · On-site

$171 - $315/hr

... Python. You are comfortable reading and modifying complex systems-level code. Preferred Qualifications * Understanding of CPU/GPU architecture. * Understanding of modern LLM architectures and ...

Interest in LLM agents and how they actually work under the hood IMPORTANT: Please be informed that ... Strong command of Python, TypeScript, Go, Rust, C++ * Expertise with async, concurrency, and ...

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for python llm in Rancho Cordova, CA is $62.54, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $71.01 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.

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For Python Llm jobs in Rancho Cordova, CA, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Rancho Cordova, CA look for?

The top searched job categories for Python Llm jobs in Rancho Cordova, CA are:

What cities near Rancho Cordova, CA are hiring for Python Llm jobs?

Cities near Rancho Cordova, CA with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $130,073 per year, or $62.5 per hour.

Python Developer w/AI Experience

Mindsource Inc

Sacramento, CA • On-site

$54.75 - $75.50/hr

Other

Posted 12 days ago


Job description

Title: AI Developer w/Strong Python

Location: Sacramento, CA (Hybrid)

Duration: 6-month Contract-to-Hire (C2H)

Position Summary:

We are seeking a hands-on AI Developer with strong Python expertise and proven foundational AI experience to support a large-scale enterprise AI transformation.

This is not an entry-level or “learn AI on the job” role—we are looking for developers who already have real exposure to AI/ML concepts and LLM-based solutions and want to accelerate into advanced AI engineering.

You will play a key role in a Microsoft 365 Copilot and agent-driven transformation, helping transition existing ChatGPT-based solutions into scalable, enterprise-grade AI platforms. This role blends application development, AI agent design, and workflow automation across core business functions.

We value individuals with a strong engineering mindset, accountability, and a growth-oriented attitude who are ready to contribute immediately while continuing to level up.

Key Responsibilities:

  1. AI Solution & Agent Development
  • Design, develop, test, deploy, and support AI-powered applications, copilots, and intelligent agents
  • Build and configure AI agents, custom GPTs, and copilots using:
    • Azure OpenAI / Azure AI Foundry
    • Microsoft Copilot Studio & Microsoft 365 Copilot
    • ChatGPT Enterprise (SKAI), Claude, and other approved platforms
  • Develop APIs, integrations, and services connecting AI to enterprise systems and workflows
  • Configure prompts, guardrails, workflows, and tool integrations to optimize performance and outcomes
  • Support full lifecycle: design → deployment → monitoring → optimization
  1. AI Enablement & Enterprise Integration
  • Develop and support RAG (Retrieval-Augmented Generation) and enterprise knowledge solutions
  • Integrate AI capabilities with platforms including:
    • Microsoft 365
    • ERP, MES, LIMS, CRM, ServiceNow
    • Enterprise data platforms (Databricks, etc.)
  • Partner with business stakeholders to identify and deliver high-impact AI use cases
  • Help transition legacy solutions from ChatGPT to Copilot + agent-based architecture
  • Support user adoption, onboarding, and feedback loops
  1. Operations & Continuous Improvement
  • Monitor AI systems for performance, reliability, security, and cost efficiency
  • Troubleshoot and resolve issues across applications, agents, and integrations
  • Evaluate AI output quality and improve accuracy through testing and feedback
  • Support production deployments, release management, and documentation
  • Collaborate with internal teams and external partners to scale solutions

Required Qualifications:

  • Strong Python development experience (non-negotiable)
  • 6–12 months of hands-on AI/ML or LLM experience (practical, not theoretical)
  • Experience building or working with AI-enabled applications, automation, or APIs
  • Understanding of LLMs, prompt engineering, or AI workflows
  • Solid foundation in software engineering, integrations, and problem-solving

Preferred Qualifications:

  • Experience with Azure AI, OpenAI, or Microsoft Copilot ecosystem
  • Exposure to agent-based AI, copilots, or workflow automation platforms
  • Familiarity with enterprise system integrations (M365, ERP, CRM, etc.)
  • Experience with Databricks or enterprise data environments

What We’re Looking For:

  • Developers with real AI exposure—not zero-to-one learners
  • Strong Python engineers who can quickly adapt to AI-first development
  • Individuals with ownership mindset, strong culture fit, and positive attitude
  • Candidates motivated to grow into senior AI engineering roles

Why Join:

  • Work on a large-scale enterprise AI (365/Copilot) transformation
  • Build real-world AI agents, copilots, and automation at scale
  • Partner with top-tier external AI vendors and platforms
  • Opportunity to upskill rapidly in enterprise AI
  • Clear path to full-time conversion after 6 months

Mindsource logo

About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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