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Ai Rag Jobs in Riverside, CA (NOW HIRING)

Barrow Wise Consulting

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 ...

Saransh Inc

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 ...

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

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

Infosys Limited

Full Stack Engineer - OE

Pomona, CA · On-site

$80.30 - $104.39/hr

AI - experience with using AI in SDLC, implementing RAG, evaluating LLM etc. * Strong experience with: * Next.js, Typescript, Python * PostgreSQL, Drizzle and/or SQLAlchemy ORM * REST APIs and ...

Acra Lending

AI Engineer

Irvine, CA · On-site

... RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. • Build prompt orchestration, memory systems, and agent reasoning frameworks. • Evaluate and deploy emerging AI ...

acralending

AI Engineer

Irvine, CA · On-site

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

acralending

AI Engineer

Irvine, CA · On-site

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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All JobsAi Rag JobsAi Rag Jobs in Riverside, CA

Ai Rag information

See Riverside, CA salary details

$33.4K

$60.8K

$87.1K

How much do ai rag jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai rag in Riverside, CA is $60,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $67,800.00 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 Riverside, CA?

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

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

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

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

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

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Riverside, CA as of June 2026, with employment types broken down into 9% Full Time, 78% Part Time, and 13% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $60,765 per year, or $29.2 per hour.

AI Infrastructure Engineer

Norco, CA • On-site

Barrow Wise Consulting
IT Services • 11 - 50 employees
Learn more about Barrow Wise Consultingexternal

$90K - $180K/yr

Full-time

Posted 8 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
  • Performs other duties as assigned

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.

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