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Ai Rag Jobs in California (NOW HIRING)

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS ...

Synopsys

AI, Sr Staff Engineer - 15460

Sunnyvale, CA · On-site

$191K/yr

You understand how to design and scale agentic AI systems, including Generative AI and Retrieval-Augmented Generation (RAG), within complex ERP and CRM environments. You enjoy leading from the front ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in California? For Ai Rag jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in California look for? The top searched job categories for Ai Rag jobs in California are:
What cities in California are hiring for Ai Rag jobs? Cities in California with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Expert Advisor -- Large Language Models & Generative AI (Part Time)

FranklinWH Energy Storage Inc.

Alameda, CA • On-site

Other

Posted 16 days ago

Job description

About FranklinWH

FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower. We are rapidly scaling production at our Santa Clara facility and actively integrating AI technology across our entire product and manufacturing pipeline.


Position Overview

We are seeking a highly accomplished and influential expert advisor in the fields of Large Language Models (LLMs) and Generative AI. This role will serve as a strategic advisor and external advocate for FranklinWH's AI initiatives, providing guidance on AI strategy and elevating the company's visibility and credibility in the AI industry.


This is a part-time, contract position.


Key Responsibilities

Strategic Advisory

● Provide strategic counsel to the executive team on LLM and Generative AI trends, opportunities, and risks

● Identify high-value AI application opportunities in energy management, smart home, and storage optimization

● Contribute to the development of the company's AI technology roadmap and long-term planning


Industry Representation

● Represent FranklinWH at industry summits, technology conferences, media interviews, and public events

● Enhance the company's brand presence and thought leadership in the AI + Energy space

● Review and endorse external communications, white papers, and technical publications


Technical Review

● Evaluate current and planned AI initiatives (including LLM, Agentic AI, RAG, and related technologies)

● Provide technical feasibility assessments and architecture recommendations

● Guide internal AI teams on technology selection and best practices


Ecosystem Development

● Leverage personal industry network to connect FranklinWH with top AI talent

● Facilitate introductions to academic institutions, technology partners, and potential investors

● Help establish long-term partnerships with the AI research community


Trend Analysis

● Deliver regular briefings on emerging trends in the LLM and Generative AI landscape

● Provide competitive intelligence and industry benchmarking insights

● Advise on AI regulatory developments, ethics, and compliance matters


Required Qualifications

● Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

● 10+ years of experience in AI/ML, with at least 3 years focused on Large Language Models (LLMs) or Generative AI

● Recognized authority and broad influence in the California or U.S. AI industry (e.g., senior technical or leadership roles at organizations such as Google, Meta, OpenAI, Apple, NVIDIA, or equivalent)

● Deep expertise in Transformer architectures, large-scale model training and fine-tuning, RAG, Agentic AI, and MLOps

● Track record of keynote speeches, published papers, or thought leadership contributions at major industry conferences and academic journals

● Exceptional communication skills with the ability to articulate complex AI concepts to both technical and non-technical audiences

● Fluent in English with strong public speaking and executive communication skills


Preferred Qualifications

● Experience applying AI in the energy, cleantech, IoT, or smart hardware industries

● Prior experience serving on corporate AI advisory boards or as a technology advisor

● Research or practical experience in AI ethics, responsible AI, or AI governance

● Contributions to open-source projects, technology patents, or widely cited academic publications

● Strong personal brand and following on LinkedIn, Twitter/X, or other professional platforms

● Bilingual in English and Mandarin Chinese is a plus


Why FranklinWH?

● Frontier Opportunity: Help define the AI future of the clean energy industry at the intersection of AI and energy

● High Growth: Partner with a fast-growing, technology-driven energy company scaling rapidly in the U.S. market

● Flexibility: Flexible engagement structure that complements your existing professional commitments

● Unique Impact: Build a distinctive personal brand at the forefront of AI-powered clean energy — a globally significant mission


FranklinWH Energy Storage Inc. is an equal opportunity employer. We welcome candidates from all backgrounds.

Apply