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Llm Remote Jobs in California (NOW HIRING)

Mercor

LLM Agent Engineer - Production

San Francisco, CA · Remote

$100 - $500/hr

Remote Role Responsibilities * Build and operate LLM agents in production environments. * Evaluate agent performance and determine improvements after changes. * Manage long-running agents, including ...

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YO AI Labs

GPU Programmer - Remote

Los Angeles, CA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

YO AI Labs

GPU Programmer - Remote

San Jose, CA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

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Llm Remote information

What is an llm remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What are the key skills and qualifications needed to thrive as an llm remote engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.

What are some common challenges faced by remote large language model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What are the most commonly searched types of Llm jobs in California?

The most popular types of Llm jobs in California are:

What are popular job titles related to Llm Remote jobs in California?

For Llm Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Llm Remote jobs in California look for?

The top searched job categories for Llm Remote jobs in California are:

What cities in California are hiring for Llm Remote jobs?

Cities in California with the most Llm Remote job openings:

Llm Remote jobs near you
Infographic showing various Llm Remote job openings in California as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Job description

Company Description
Job Description
LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home
As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences. You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production. This position is 100% Remote.
LLM Application Engineer Responsibilities:
- Build and ship LLM-powered applications and AI agent workflows.
- Design systems for reasoning, planning, memory, tool use and multi-step execution.
- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.
- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.
- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.
- Optimize AI systems for quality, latency, and cost.
- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.
LLM Application Engineer Outcomes:
- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.
- LLM-powered workflows are reliable, scalable, observable, and maintainable.
- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.
- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.
- Complex AI capabilities are translated into simple, intuitive user experiences.
Qualifications
LLM Application Engineer Qualifications:
- Artificial Intelligence (AI) experience required.
- Strong software engineering fundamentals with experience building AI-powered applications.
- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.
- Experience designing prompts, workflows, evaluations, or AI behavior.
- Ability to write clean, production-quality code.
- Comfortable working across abstraction layers from model to system to product.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an LLM Application Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire LLM Application Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
Please check out all of our jobs at www.ginastechjobs.com.

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