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Ai Rag Jobs in Santa Ana, CA (NOW HIRING)

SolGenie

AI Architect

Torrance, CA · On-site

GenAI Architect / AI Architect (LLM, Prompt Engineering, RAG, AWS/Azure) Location: Torrance, CA (Onsite) Duration: 6+ Months Consultants local to CA preferred Job Summary We are looking for a hands ...

Infosys

Full Stack Engineer - OE

Rosemead, CA · On-site

$80K - $104K/yr

Required Skill and Experience • full-stack software development experience. • AI - experience with using AI in SDLC, implementing RAG, evaluating LLM etc. • Strong experience with: o Next.js ...

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 ...

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 ...

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 ...

Staffingine LLC

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Extensive Handson experience in building Generative AI application using methodologies such as RAG prompt engineering embedding fine tuning etc * Experience in working with structured as well as ...

Confie

AI Engineer

Huntington Beach, CA · On-site

$100 - $140/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 ...

Nowcom

AI Voice Engineer

Los Angeles, CA · On-site

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Design, build, and maintain advanced RAG and LLMdriven capabilities that power our virtual agents ... Combine AI systems expertise with engineering fundamentals, excellent storytelling skills, and a ...

Nowcom

AI Voice Engineer

Los Angeles, CA · On-site

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

Divergent

AI Solutions Engineer

Torrance, CA · On-site

Develop domain specific AI software using RAG and Agentic AI. * Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI. * Implement ...

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven automation, with a focus on POCs → production deployment. Candidates having experience building and ...

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All JobsAi Rag JobsAi Rag Jobs in Santa Ana, CA

Ai Rag information

See Santa Ana, CA salary details

$33.3K

$60.6K

$86.9K

How much do ai rag jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai rag in Santa Ana, CA is $60,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $67,600.00 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 job categories do people searching Ai Rag jobs in Santa Ana, CA look for?

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

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

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

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Santa Ana, CA as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $60,609 per year, or $29.1 per hour.

Senior Full Stack Software Engineer

Prophecy Technologies

Rosemead, CA • On-site

Full-time

Posted 28 days ago

Job description

Key Responsibilities
• Develop modern web applications, APIs, and enterprise integrations.
• Design and build cloud-native solutions on Azure and/or GCP.
o One out of four roles need to have full stack and AI experience in GCP. Other three in full stack and Azure AI ecosystem.
• Implement scalable microservices and event-driven architectures.
• Support CI/CD, DevOps, and application security best practices.
• Integrate AI/LLM capabilities into business workflows.
• Collaborate with architects, product owners, and business stakeholders.
• Mentor junior engineers and contribute to technical standards.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years of full-stack software development experience.
• AI - experience with using AI in SDLC, implementing RAG, evaluating LLM etc.
• Strong experience with:
o Next.js, Typescript, Python
o PostgreSQL, Drizzle and/or SQLAlchemy ORM
o REST APIs and microservices
o SQL/NoSQL databases
o Azure and/or GCP cloud services
o Git, CI/CD, and DevOps practices
• Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
• Experience building AI-enabled applications.
• Knowledge of Azure OpenAI, Vertex AI, RAG, and Generative AI solutions.
• Experience with enterprise workflow automation and integrations.
• Familiarity with utility, engineering, construction, or permitting systems.

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