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Ai Rag Jobs in Corona, CA (NOW HIRING)

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads. * Build deterministic, well-tested deployment tooling for ...

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

Develop solutions using Python and PyTorch, including generative AI, RAG, and agentic workflows ... Build and maintain scalable AI pipelines in Azure environments. * Collaborate with semiconductor ...

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

Develop solutions using Python and PyTorch, including generative AI, RAG, and agentic workflows ... Build and maintain scalable AI pipelines in Azure environments. * Collaborate with semiconductor ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

Retrieval-Augmented Systems (RAG) * Enterprise AI Integration * AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills: * Python & Backend Development * LLM / Generative AI ...

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings). * Architect and implement LLM orchestration layers supporting content ideation ...

AI Engineer

Huntington Beach, CA · On-site

$100 - $125/hr

Build advanced RAG systems with vector databases, hybrid search (dense + sparse retrieval), and reranking for domain-specific chatbots and knowledge retrieval. Develop generative AI solutions for ...

Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent reasoning frameworks.

Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent reasoning frameworks.

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Ai Rag information

See Corona, CA salary details

$33K

$60.1K

$86.1K

How much do ai rag jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai rag in Corona, CA is $60,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $67,100.00 per year, depending on experience, location, and employer.

What is an AI RAG?

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 the key skills and qualifications needed to thrive as an AI researcher?

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 are common challenges faced by AI RAG 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 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 popular job titles related to Ai Rag jobs in Corona, CA?

For Ai Rag jobs in Corona, CA, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Corona, CA look for?

The top searched job categories for Ai Rag jobs in Corona, CA are:

What cities near Corona, CA are hiring for Ai Rag jobs?

Cities near Corona, CA with the most Ai Rag job openings:

AI Infrastructure Engineer

Barrow Wise Consulting

Norco, CA • On-site

$90K - $180K/yr

Full-time

Posted 19 days ago


Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The AI Infrastructure Engineer will support Barrow Wise and perform the following duties:
  • Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments.
  • Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering.
  • Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance.
  • Identify gaps in scalability, observability, compliance, and AI readiness.
  • Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads.
  • Build deterministic, well-tested deployment tooling for air-gapped, on-prem, and classified environments.
  • Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements.
  • Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves
  • Work Remotely, but some travel is required to California

An Ideal Candidate has:
  • US Citizenship and Secret Clearance
  • Master's Degree or PhD in Engineering, Computer Science, Mathematics, or a related field
  • 8 years of systems engineering and AI infrastructure development expertise

Barrow Wise Consulting, LLC offers an ethical, challenging, diverse, and rewarding experience. Join us and become part of an enthusiastic, responsible team that delivers innovative solutions to our clients. We provide competitive compensation packages, attractive benefits, and great careers. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.