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Rag Llm Jobs in Riverside, CA (NOW HIRING)

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

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

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 ...

Lendistry

Sr AI/Agentic Engineer

Tustin, CA · On-site

$115K - $158K/yr

... LLM-powered features already running in production. • Fine-tune and adapt foundation models to Lendistry-specific tasks using various techniques. • Design and build RAG systems end to end. • ...

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Build and operationalize LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings pipelines, and prompt orchestration frameworks. * Design and implement vector search systems ...

CompassX Group

Solution Architect - GenAI

Irvine, CA

$150K - $190K/yr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$150K - $190K/yr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

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Rag Llm information

See Riverside, CA salary details

$46.9K

$78.6K

$114.8K

How much do rag llm jobs pay per year?

As of Aug 24, 2026, the average yearly pay for rag llm in Riverside, CA is $78,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $90,800.00 per year, depending on experience, location, and employer.

What is a RAG LLM?

RAG LLMs, or Retrieval-Augmented Generation Large Language Models, are advanced AI systems that combine the strengths of traditional language models with external data retrieval systems. They work by first searching a relevant database or knowledge base for up-to-date information, and then using a language model to generate responses based on both the retrieved content and their own training. This approach helps LLMs provide more accurate, current, and contextually relevant answers, especially for specialized or rapidly changing topics. RAG LLMs are widely used in customer support, research, and enterprise applications to improve information accuracy and reliability.

How do RAG LLM engineers collaborate with data scientists and product teams to improve retrieval-augmented generation systems?

RAG LLM engineers often work closely with data scientists to fine-tune retrieval mechanisms, optimize model performance, and evaluate system outputs. They also collaborate with product teams to understand user needs, integrate feedback, and ensure the system delivers relevant, accurate information. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment focused on continuous improvement and innovation in response to real-world challenges.

What are the key skills and qualifications needed to thrive as a Retrieval-Augmented Generation (RAG) LLM engineer?

To thrive as a Retrieval-Augmented Generation (RAG) LLM Engineer, you need a strong background in natural language processing, machine learning, and software development, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch, Hugging Face Transformers, vector databases, and cloud platforms, along with experience deploying large language models, is essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaboration and innovation in this fast-evolving space. These skills ensure the development of robust, scalable, and accurate retrieval-augmented AI systems that meet real-world information needs.

What is the difference between Rag Llm vs Data Scientist?

AspectRag LlmData Scientist
Required CredentialsTypically a master's or PhD in AI, machine learning, or related fieldsUsually a master's or PhD in data science, statistics, or computer science
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, tech firms, consulting
Industry UsageAI research, natural language processing, machine learning projectsData analysis, predictive modeling, data-driven decision making

Rag Llm and Data Scientist roles often overlap in AI and data analysis fields, but Rag Llm focuses more on language models and AI research, while Data Scientists handle broader data analysis and modeling tasks. Both require advanced degrees and work in tech-driven environments, but their core responsibilities differ in scope and application.

What are popular job titles related to Rag Llm jobs in Riverside, CA?

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

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

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

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

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

Rag Llm jobs near you
Infographic showing various Rag Llm job openings in Riverside, CA as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $78,558 per year, or $37.8 per hour.

Software Developer II - Indoor GIS AI and Reality

Esri

Redlands, CA • On-site

Full-time

Re-posted 2 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

Overview

Join our Indoor GIS team and help shape the future of how people understand, navigate, and interact with the built environment. We are building AI-powered capabilities that bring intelligence to indoor spaces, extracting meaning from 3D scans, floor plans, imagery, and spatial data to automate workflows and unlock new possibilities for our customers. 

This role sits at the intersection of computer vision, AI/ML, 3D graphics, and geospatial software. Depending on the problem, your work may span applied research and prototyping, production engineering, or integration with other Esri teams. You will help define what's possible and figure out the best path to get there. 

If you are energized by ambiguous, high-impact problems and want to work across a wide technology surface, from LLMs and Gaussian Splatting to image processing and semantic search, this team offers a uniquely broad and forward-looking challenge. 

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

Research, prototype, and develop AI-powered features across a diverse problem space, including: 

  • Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation
  • Prototype and integrate algorithms for image/video analysis, geometric calculations and transformations, model evaluation, semantic search, and visual positioning under guidance from senior engineers
  • Write clean C++, .NET/C#, and Python code to process spatial data, imagery, video frames, floor plan geometry, and user-reviewed AI/ML outputs
  • Contribute to experiments with LLMs, computer vision models, embeddings/vector search, and AI coding workflows, documenting results and limitations clearly
  • Collaborate with cross-functional engineering and product teams across Esri
  • Participate in code reviews and software quality processes
  • Learn and apply GIS concepts, floor-aware mapping patterns, ArcGIS data models, and indoor facility workflows to ensure features solve real user problems
  • Present prototypes, demos, and findings to the team and incorporate feedback into iterative development
  • Participate as an individual contributor to a Scrum software development team

Requirements

  • 2+ years of professional software development experience 
  • Proficiency in Python and working knowledge of C++ or .NET/C#; willingness to deepen expertise in all three as required by product work
  • Experience prototyping or integrating AI/ML technologies into real software
  • Strong understanding of software algorithms and data structures
  • Familiarity with image analysis, computer vision, or 3D/graphics programming
  • Experience working with APIs and services
  • Strong analytical, problem-solving, and communication skills
  • Experience or exposure using AI to assist in code development (Copilot or spec driven development with an LLM like Claude, Codex, or similar)
  • Bachelor's degree in Computer Science, Software Engineering, or a related STEM field

Recommended Qualifications

  • Experience with OpenCV, ONNX, image/video feature extraction, object detection, segmentation, or model evaluation
  • Exposure to Gaussian splats, 3D mesh processing, graphics programming, game engines, WebGL/OpenGL/DirectX, or reality capture workflows
  • Familiarity with GIS concepts, ArcGIS, CAD/BIM/Revit, LiDAR, 360 imagery, indoor positioning, or indoor mapping workflows
  • Experience with semantic search, embeddings, vector databases, RAG, LLM APIs, Claude/ChatGPT/Gemini/Llama, or AI-assisted coding tools such as GitHub Copilot/Copilot Chat
  • Experience creating clear technical specs, unit tests, benchmark scripts, data analysis notebooks, or prototype documentation
  • Master's degree or advanced coursework in Computer Science, AI/ML, Computer Vision, Graphics, Robotics, GIS Science, or a related STEM field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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