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

Convoso

Principal Software Engineer - AI

Los Angeles, CA · On-site

$145K - $195K/yr

Convoso currently employs remote team members in several U.S. states, including AL, AZ, CA, CO, CT ... LLM Implementation: Extensive experience developing production-grade features using LLM APIs ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Los Angeles, CA · On-site +1

$112K - $154K/yr

You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and ... Expert Python, SQL, and PySpark. Extensive experience with containerization (Docker, Kubernetes ...

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All JobsRemote Python Llm JobsRemote Python Llm Jobs in Azusa, CA

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How much do remote python llm jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for remote python llm in Azusa, CA is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.74 per hour, depending on experience, location, and employer.

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.

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.
What job categories do people searching Remote Python Llm jobs in Azusa, CA look for? The top searched job categories for Remote Python Llm jobs in Azusa, CA are:
What cities near Azusa, CA are hiring for Remote Python Llm jobs? Cities near Azusa, CA with the most Remote Python Llm job openings:
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DevOps Engineer ID69155

DevOps Engineer ID69155

AgileEngine

Downey, CA • On-site, Remote

$54.75 - $75.25/hr

Full-time

Posted 4 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Platform Engineer to provide hands-on engineering support for an internal audit and code-modification platform built on GitLab CI/CD pipelines and LLM-powered agentic workflows. You will execute against an existing backlog, improve system reliability and observability, support telemetry and run management, and enhance the developer experience for reviewing AI-generated merge requests using Python. This is a three-month project engagement.
WHAT YOU WILL DO
  • Provide hands-on engineering support for an internal audit and code-modification platform;
  • Execute against an existing backlog and deliver tactical platform improvements;
  • Improve system reliability, observability, and operational visibility;
  • Support telemetry, logging, debugging, and run management processes;
  • Enhance the developer experience for reviewing AI-generated merge requests using Python;
  • Support system maintenance, operational improvements, and GitLab CI/CD pipeline execution;
  • Work with LLM-powered and agentic workflows, ensuring reliability and usability;
  • Support internal engineering teams and platform users;
  • Improve the reliability, visibility, and usability of the current platform;
  • Contribute to code review workflows, automated remediation processes, and platform enhancements.

MUST HAVES
  • 5+ years of experience with GitLab CI/CD pipelines, merge request workflows, and pipeline debugging;
  • Senior-level backend or platform engineering experience, ideally with Python;
  • Experience working with LLM, prompt-driven, or agentic workflows, including input/output validation and deterministic execution patterns;
  • Strong understanding of observability, including logging, telemetry, debugging, run tracking, and operational visibility;
  • Experience supporting internal developer tools or platforms used by multiple engineering teams;
  • Ability to execute tactical improvements independently without requiring extensive direction or re-architecture;
  • Comfortable reviewing and improving generated code changes, codemods, and automated merge requests;
  • Strong communication skills for supporting internal engineering customers and translating use cases into implementation work;
  • Upper-intermediate English level.

NICE TO HAVES
  • Experience building or maintaining developer experience tooling for code review, audits, or automated remediation;
  • Familiarity with GitHub or GitLab extensions, repository audits, or large-scale source-code analysis;
  • Experience with codemod frameworks or automated code transformation across large codebases;
  • Experience optimizing LLM token usage, cost tracking, and per-job reporting;
  • Knowledge of MCP, internal orchestration systems, or agent gateway patterns;
  • Prior experience supporting centralized engineering platforms used across multiple product teams.

PERKS AND BENEFITS
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive compensation.
  • Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.

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