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Ai Rag Jobs in California (NOW HIRING)

Intellectt INC

AI Software Engineer

Foster City, CA · On-site

RAG Architecture & Vector Databases * AI Agents & Conversational AI * LangChain / LlamaIndex / AutoGen * Backend & API Development * Cloud Technologies (AWS/GCP/Azure) * Docker / Kubernetes ...

East West Bank

AI Governance

Pasadena, CA

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

East West Bank

AI Governance

Pasadena, CA

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

Unavailable

AI Governance

Pasadena, CA

Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions. * Evaluate AI technologies, platforms, and vendors to ensure alignment with ...

Gatik AI

AI Operations & RAG Architect

Mountain View, CA

$170K - $220K/yr

Your mission is to design secure RAG (Retrieval-Augmented Generation) structures that allow AI to safely access company knowledge while strictly respecting security boundaries and data privacy. This ...

Gatik AI

AI Operations & RAG Architect

Mountain View, CA · On-site

$170K - $220K/yr

Your mission is to design secure RAG (Retrieval-Augmented Generation) structures that allow AI to safely access company knowledge while strictly respecting security boundaries and data privacy. This ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. • Develop AI-powered assistants to support technicians in ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. • Develop AI-powered assistants to support technicians in ...

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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.

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.

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
AI Software Engineer

AI Software Engineer

Intellectt INC

Foster City, CA • On-site

Contractor

Posted 24 days ago

Job description

Key Skills:

  • Python & PyTorch
  • LLMs / Generative AI
  • RAG Architecture & Vector Databases
  • AI Agents & Conversational AI
  • LangChain / LlamaIndex / AutoGen
  • Backend & API Development
  • Cloud Technologies (AWS/GCP/Azure)
  • Docker / Kubernetes / Microservices

Responsibilities:

  • Build AI agents and autonomous systems
  • Develop chatbots and voice-based AI solutions
  • Design and optimize RAG pipelines
  • Integrate AI capabilities into production applications
  • Evaluate and deploy LLM solutions
  • Work closely with cross-functional engineering teams

Nice to Have:

  • Kotlin experience
  • Kafka / gRPC
  • Full-stack development exposure
  • CI/CD & DevOps practices