ZipRecruiter

Log In

1

Ai Rag Jobs in Riverside, CA (NOW HIRING)

Prosum Inc.

Generative AI Engineer

Irvine, CA · On-site

$120K - $170K/yr

Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions * Establish and enforce engineering standards across prompt design ...

Origence

Sr. Platform Engineer

Irvine, CA · On-site

Knowledge of various LLMs, Agentic AI, RAG, MCP and incorporating these technologies from both automation and feature engineering standpoints. * Understanding of Agile methodologies, Domain Driven ...

CU Direct

Sr. Platform Engineer

Irvine, CA · On-site

Knowledge of various LLMs, Agentic AI, RAG, MCP and incorporating these technologies from both automation and feature engineering standpoints. * Understanding of Agile methodologies, Domain Driven ...

Origence

Sr. Platform Engineer

Irvine, CA

Knowledge of various LLMs, Agentic AI, RAG, MCP and incorporating these technologies from both automation and feature engineering standpoints. * Understanding of Agile methodologies, Domain Driven ...

PDS Health

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K - $168K/yr

Overview The Senior Engineer, AI Solutions collaborates with cross-functional teams to design ... Experience with retrieval-augmented generation (RAG), and vector databases. * Experience with SQL ...

Origence

Sr. Platform Engineer

Irvine, CA

Knowledge of various LLMs, Agentic AI, RAG, MCP and incorporating these technologies from both automation and feature engineering standpoints. * Understanding of Agile methodologies, Domain Driven ...

PDS Health

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K/yr

The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and ... Experience with retrieval-augmented generation (RAG), and vector databases. * Experience with SQL ...

next page

Showing results 1-20

People also search for

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 May 31, 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 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 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 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 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

Senior Machine Learning Engineer (Generative AI)

Purple Drive Technologies

Irvine, CA • On-site

$112.20K - $154K/yr

Full-time

Posted 9 days ago

Job description

Overview:
Remote (Must work PST hours)
Job Overview:
We are seeking a highly experienced Senior ML Engineer with deep expertise in Generative AI and Machine Learning to drive innovation and deliver large-scale production-ready ML solutions. The ideal candidate will bring hands-on experience across the full SDLC, strong technical leadership, and proven success in deploying cutting-edge ML models and platforms at scale.
Key Responsibilities:
  • Act as a thought leader driving ML innovation across products and platforms.
  • Lead the full software development lifecycle (SDLC): design, coding, testing, deployment, and operations.
  • Guide technical strategy, conduct design/code reviews, and mentor peers.
  • Develop production-grade ML code for next-gen real-time ML platforms.
  • Extend and optimize existing ML libraries/frameworks for performance at scale.
  • Partner with scientists and engineers to accelerate model development, validation, experimentation, and integration into production systems.
Required Qualifications:
  • 8+ years of experience across the full SDLC (design, coding, testing, deployment, operations).
  • 5+ years of hands-on experience building and deploying end-to-end ML solutions in production.
  • Proven experience with Generative AI (RAG, AI Agents, LLM fine-tuning).
  • Strong background in cloud-based distributed systems (AWS, Azure, GCP).
  • Exceptional problem-solving skills and ability to work in complex, ambiguous environments.
  • Bachelor's degree in Computer Science, Mathematics, or related field.
Preferred Qualifications:
  • MS/PhD in Computer Science, Machine Learning, or related discipline.
  • Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG).
  • Exposure to Big Data and distributed technologies (Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue).

Apply