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Remote Generative Ai Engineer Jobs in California

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

Twenty80 LLC

AI Engineer

San Mateo, CA · Remote

You will partner closely with enterprise organizations to transform generative AI concepts into ... Remote-friendly within the United States * Preference for candidates located near major East or ...

Posted today

Cybercoders

Sr. AI Engineer & Strategist

Irvine, CA · Remote

$112K - $154K/yr

... edge Generative AI creative engine that disrupts this process-mass-producing stunning, fully ... Remote (USA & Canada) As the Senior AI Engineer / Strategist, you will act as the primary architect ...

Adidev Technologies Inc

ML/AI Engineers

Oakland, CA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ...

Adidev Technologies

ML/AI Engineers

Daly City, CA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Lead cross-functional collaborations to integrate Generative AI models into our offerings ...

Rivian

Staff AI Engineer, Enterprise Applied AI

Irvine, CA · On-site +1

$206K - $258K/yr

As an Staff AI Engineer you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business ...

New

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

Leading the exploration and application of Large Language Models and Generative AI, venturing into ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

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

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do Remote Generative AI Engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a Remote Generative AI Engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in California? The most popular types of Generative Ai Engineer jobs in California are:
What are popular job titles related to Remote Generative Ai Engineer jobs in California? For Remote Generative Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in California look for? The top searched job categories for Remote Generative Ai Engineer jobs in California are:
What cities in California are hiring for Remote Generative Ai Engineer jobs? Cities in California with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in California as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution.

AI Engineer (Remote)

Innowhyte Inc

Remote

Full-time

Re-posted 28 days ago

Job description

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.
Key Responsibilities
Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). 
Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
Preprocess, clean, and annotate datasets for training and evaluation.
Optimize models for performance using techniques like quantization and pruning.
Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Monitor and troubleshoot deployed models for accuracy and reliability.
Collaborate with cross-functional teams to align AI capabilities with business objectives.
Stay updated with advancements in AI/ML research and integrate best practices.
Requirements
Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
Strong understanding of transformer architectures and generative models like GPT or BERT.
Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
Familiarity with cloud-based AI platforms and containerization tools.
Excellent problem-solving, analytical, and communication skills.
Employment Type: FULL_TIME

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