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Remote Python Llm Jobs in Pittsburg, CA (NOW HIRING)

David Joseph & Company

AI Engineer

San Francisco, CA · Remote

$150K - $250K/yr

AI Engineer Type: Full-time | Remote (US) -- San Francisco preferred Compensation: $150K - $250K ... Python, TypeScript, LLM tooling (LangGraph, Mastra, Agents SDK), LLM evals + applied GenAI What We ...

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All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Pittsburg, CA

Remote Python Llm information

See Pittsburg, CA salary details

$14

$65

$95

How much do remote python llm jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for remote python llm in Pittsburg, CA is $65.16, according to ZipRecruiter salary data. Most workers in this role earn between $53.70 and $73.99 per hour, depending on experience, location, and employer.

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
What job categories do people searching Remote Python Llm jobs in Pittsburg, CA look for? The top searched job categories for Remote Python Llm jobs in Pittsburg, CA are:
What cities near Pittsburg, CA are hiring for Remote Python Llm jobs? Cities near Pittsburg, CA with the most Remote Python Llm job openings:
Remote Python Llm jobs near you
Infographic showing various Remote Python Llm job openings in Pittsburg, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $135,532 per year, or $65.2 per hour.
Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Fuku

San Francisco, CA • Remote

Full-time

Re-posted 19 days ago

Job description

Job Title: Senior Full-Stack Engineer (Contract)
Company Overview:
NexaFlow is developing a next-generation automated code review tool powered by large language models (LLMs). We are seeking a Senior Full-Stack Engineer to build a proof-of-concept prototype from end to end.
Key Responsibilities:

  • D
    • esign and implement an LLM-integrated code review system capable of analyzing pull requests, detecting bugs and security vulnerabilities, and providing contextual feedback within CI/CD pipelines.
  • O
    • wn the entire proof-of-concept (PoC) process, including system architecture, LLM integration, static analysis pipeline, pull request webhook integration, review dashboard, and Docker-based deployment.
  • I
    • ntegrate LLM APIs such as OpenAI GPT-4 or Anthropic Claude into production systems.
  • D
    • evelop and maintain CI/CD pipelines using tools such as GitHub Actions and GitLab CI.
  • I
    • ncorporate static analysis tools such as Semgrep or CodeQL into the review workflow.
  • W
    • ork independently from initial architecture through to deployment.
    Requirements:
  • 5
    • + years of full-stack development experience with Python or Node.js and React or Vue.
  • H
    • ands-on experience integrating LLM APIs (e.g., OpenAI GPT-4, Anthropic Claude) into production systems.
  • S
    • trong background in CI/CD pipeline development, including experience with GitHub Actions, GitLab CI, and code review tooling.
  • E
    • xperience with static analysis tools such as Semgrep or CodeQL.
  • A
    • bility to work independently and take ownership of the entire PoC lifecycle.
  • F
    • amiliarity with Retrieval-Augmented Generation (RAG) architectures and vector databases is a plus.
    Contract Details:
  • C
    • ontract role with potential for extension.
  • L
    • ocation: San Francisco; remote-friendly.
    If you are passionate about building innovative developer tools and have a strong background in full-stack engineering and LLM integration, we encourage you to apply.

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    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015

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