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Remote Entry Level Ai Engineer Jobs in California

Innowhyte Inc

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 ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

You.com

Senior AI Engineer

San Francisco, CA · On-site +1

$250K - $300K/yr

You're a strong AI engineer who ships real things, and you're equally at home in an open-source ... hybrid/remote team's cell phone and internet expenses* * $1,200 per year Health & Wellness ...

Brex

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

Brex

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

New

Numentica LLC

AI Application Engineer

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The AI Application Engineer builds the prototypes, services, workflows, and integrations that bring generative AI use cases to life on AWS. This is a hands-on ...

AllyNd Partners

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

San Francisco / Austin TX / Remote (U.S. only) About the Role Youll be the founding Data Engineer at a healthcare AI startup backed by a leading Data/AI-focused VC firm. This role is ideal for ...

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Remote Entry Level Ai Engineer information

What is a Remote Entry Level AI Engineer?

A Remote Entry Level AI Engineer is a professional who works from a remote location to help develop, test, and implement artificial intelligence (AI) systems and models. They typically support more experienced engineers by writing code, analyzing data, and assisting with machine learning tasks. Entry level roles often require basic programming skills (such as Python), familiarity with AI frameworks, and a passion for learning new technologies. Working remotely allows for flexibility, but it also requires good communication and self-management skills. This role is ideal for recent graduates or those transitioning to AI engineering from related fields.

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

To thrive as a Remote Entry Level AI Engineer, you need a solid understanding of programming languages (like Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for excelling in a remote setting. These skills ensure you can contribute meaningfully to AI projects, learn quickly in a rapidly evolving field, and collaborate efficiently with distributed teams.

What are the typical collaboration methods for remote entry-level AI engineers working on distributed teams?

Remote entry-level AI engineers usually collaborate with team members through a mix of video conferencing, instant messaging, and shared project management tools. You'll often participate in daily stand-ups, code reviews, and brainstorming sessions using platforms like Slack, Zoom, or Microsoft Teams. Version control systems such as GitHub or GitLab are essential for coordinating code contributions. Building strong communication skills is important, as you'll need to clearly articulate ideas and ask questions despite not being physically present with your colleagues.
What are popular job titles related to Remote Entry Level Ai Engineer jobs in California? For Remote Entry Level Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Ai Engineer jobs in California look for? The top searched job categories for Remote Entry Level Ai Engineer jobs in California are:
What cities in California are hiring for Remote Entry Level Ai Engineer jobs? Cities in California with the most Remote Entry Level Ai Engineer job openings:
Remote Entry Level Ai Engineer jobs near you
Infographic showing various Remote Entry Level Ai Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Engineer (Remote)

Innowhyte Inc

Remote

Full-time

Posted 24 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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