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Llm Engineer Remote Jobs in Riverside, CA (NOW HIRING)

AI Automation Engineer -Remote

Pomona, CA ยท On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Ai Automation Engineer

Yorba Linda, CA ยท On-site +1

$150K - $170K/yr

ATTOM is a fully remote company, with employees located throughout the United States. Currently, we ... Build Ai automation and automated workflows Deploy AI-powered solutions - LLM workflows, document ...

Ai Automation Engineer

Yorba Linda, CA ยท Remote

$150K - $170K/yr

ATTOM is a fully remote company, with employees located throughout the United States. Currently, we ... Build Ai automation and automated workflows Deploy AI-powered solutions -- LLM workflows, document ...

Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives ... engineering, or risk modelling). * Strong grasp of stochastic calculus, statistical modeling ...

Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives ... engineering, or risk modelling). * Strong grasp of stochastic calculus, statistical modeling ...

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Llm Engineer Remote information

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How much do llm engineer remote jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for llm engineer remote in Riverside, CA is $55.95, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $64.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM Engineer in a remote role, and why are they important?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM Engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is an LLM Engineer (Remote)?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are the most commonly searched types of Llm Engineer jobs in Riverside, CA? The most popular types of Llm Engineer jobs in Riverside, CA are:
What are popular job titles related to Llm Engineer Remote jobs in Riverside, CA? For Llm Engineer Remote jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Llm Engineer Remote jobs? Cities near Riverside, CA with the most Llm Engineer Remote job openings:
AI Automation Engineer -Remote

AI Automation Engineer -Remote

Quora

Pomona, CA โ€ข On-site, Remote

$202.38K - $234.20K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

About Quora:

Quoraโ€™s mission is to grow and share the worldโ€™s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

About the Team and Role:

Weโ€™re hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal will be to automate as much work as possible, increasing our productivity and improving the quality of our products, decision-making, and internal processes.

Youโ€™ll work closely with teams across the organization to identify high-impact problems and solve them, continually assessing new potential as frontier model capabilities constantly improve. With access to a wide range of state-of-the-art models via Poe, and an organization focused on AI, youโ€™ll be well placed to experiment, iterate quickly, and launch internal services.

This role is ideal for an engineer whoโ€™s curious, pragmatic, and motivated by real-world impact - not just research or prototypes. Youโ€™ll lay the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation.

Responsibilities:
  • Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
  • Use AI as much as possible to automate your own process of creating this software
  • Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities
  • Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
  • Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot
  • Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
  • Work cross-functionally to ensure tools are adopted and deliver obvious value
  • Stay updated on the latest models and tools, and apply that knowledge to your work
Minimum Requirements:
  • Availability for meetings and impromptu communication during Quora's โ€œcoordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • Experience creating LLM-backed tools involving prompt engineering and automated evals
  • 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript
  • Excellent debugging skills and the ability to manage multiple projects simultaneously
  • High level of ownership and accountability, especially with sensitive or business-critical data
  • Strong communication skills and a collaborative mindset
  • Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities
  • Experience working cross-functionally with teams outside of product development
  • A natural collaborator who enjoys being a partner and creating utility for others

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the worldโ€™s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $218,588 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice