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Ai Rag Jobs in California (NOW HIRING)

Sedgwick

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 ...

Walmart

Distinguished, Software Engineer

Cupertino, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

Mountain View, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

Fremont, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

San Mateo, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

Hayward, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

Sunnyvale, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Staffingine LLC

Data Scientist

San Francisco, CA · On-site

Build production-ready AI systems for document processing (PDFs, XLSX, DOCX, CSV etc.) * Develop and deploy 1-2 RAG/knowledge base systems in the first year * Create reusable GenAI frameworks and ...

Walmart

Staff, Software Engineer

Milpitas, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Staff, Software Engineer

Cupertino, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Distinguished, Software Engineer

Milpitas, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Distinguished, Software Engineer

San Jose, CA · On-site

$169K - $338K/yr

We are seeking a Distinguished Software Engineer with deep expertise in Generative AI, LLMs, Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This ...

Walmart

Staff, Software Engineer

Mountain View, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Staff, Software Engineer

San Jose, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Staff, Software Engineer

Fremont, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Staff, Software Engineer

Sunnyvale, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

Walmart

Staff, Software Engineer

Hayward, CA · On-site

$143K - $286K/yr

We are seeking a Staff, Software Engineer with deep expertise in Generative AI , LLMs , Agentic and RAG frameworks to lead the design, development, and deployment of advanced AI systems. This role ...

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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.
Engineering Leader of AI Transformation

Engineering Leader of AI Transformation

Altera Corporation

San Jose, CA • On-site

$206K - $290K/yr

Full-time

Re-posted 12 days ago

Job description

Job Details:
Job Description:
About the Role
Altera is seeking a visionary and hands-on Director of AI Transformation & Engineering Excellence to lead enterprise-wide AI initiatives that accelerate productivity, modernize engineering workflows, and drive innovation. In this role, you will architect advanced AI/ML solutions, build and scale Altera's AI Office, and elevate engineering excellence across the organization.
This position is ideal for a deeply technical leader who thrives at the intersection of strategy, execution, and organizational transformation.
Key Responsibilities
  • Lead the strategic planning, design, and execution of AI-driven transformation initiatives across Altera.
  • Architect scalable, production-grade AI/ML systems that improve engineering throughput and business productivity.
  • Build and mentor an AI Office team focused on innovation, enterprise enablement, and continuous improvement.
  • Partner with technology, product, and business leaders to identify and develop AI opportunities with measurable ROI.
  • Champion engineering excellence-coding standards, MLOps best practices, automation, and performance optimization.
  • Stay ahead of advancements in AI, LLMs, generative models, and intelligent automation to guide technology direction.
  • Engage in hands-on prototyping, model development, and technical reviews.
  • Define KPIs, metrics, and dashboards to track the impact of AI transformation efforts.
  • Foster a culture of collaboration, experimentation, and a strong can-do attitude.

Salary Range
The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$206,400 - $290,000 USD
We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.
Qualifications:
Required Qualifications
  • 10+ years of hands-on AI/ML engineering or applied research leadership.
  • MS or PhD in Machine Learning, AI, Computer Science, or related field.
  • Deep expertise in designing, developing, and deploying large-scale AI/ML solutions.
  • Strong proficiency in Python, and frameworks such as PyTorch, TensorFlow, and Scikit-learn.
  • Experience leading technical teams and building AI capabilities from the ground up.
  • Proven track record in driving AI-enabled productivity improvements or engineering transformations.
  • Excellent communication, cross-functional leadership, and stakeholder alignment skills.
  • A collaborative mindset, high ownership, and ateam-first, can-do approach.

Preferred Qualifications
  • Experience launching or leading an AI Center of Excellence (CoE).
  • Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies.
  • Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems.
  • Publications, patents, or research contributions in ML/AI.

Job Type:
Regular
Shift:
Shift 1 (United States of America)
Primary Location:
San Jose, California, United States
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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