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Llama Ai Jobs in Riverside, CA (NOW HIRING)

AI Engineer

Irvine, CA · On-site

$50K - $112K/yr

... LLaMA, Mistral, and Gemma, for local and cloud deployment using quantization, inference ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Llama Ai information

See Riverside, CA salary details

$13

$18

$21

How much do llama ai jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for llama ai in Riverside, CA is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.30 per hour, depending on experience, location, and employer.

What is a llama ai?

Llama AI jobs typically refer to roles that involve working with Meta's Llama (Large Language Model Meta AI) models. These positions may include tasks such as training, deploying, fine-tuning, or integrating the Llama AI language models into applications. Professionals in these roles may work as machine learning engineers, data scientists, AI researchers, or software developers. Llama AI jobs require knowledge of natural language processing, machine learning frameworks, and programming languages such as Python. These roles are found in tech companies, research institutions, and organizations seeking to leverage advanced AI for various applications.

What are the key skills and qualifications needed to thrive as an AI engineer working with Llama AI?

To thrive as an AI Engineer specializing in Llama AI, you need a solid background in computer science, machine learning, and natural language processing, often with a relevant degree and experience in AI model development. Familiarity with frameworks like PyTorch or TensorFlow, experience deploying large language models, and knowledge of cloud platforms such as AWS or Azure are typically required. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and adapt to evolving AI technologies. These skills are crucial for building, fine-tuning, and deploying advanced AI models that deliver accurate and scalable solutions.

What are some common challenges faced by AI engineers working with large language models like Llama AI, and how can they be addressed?

AI engineers working with large language models such as Llama AI often encounter challenges related to optimizing model performance, managing substantial computational resources, and ensuring ethical use of the technology. Balancing model accuracy with efficiency requires thoughtful tuning and experimentation, while working in cross-functional teams helps address issues such as bias and responsible deployment. Staying updated with the latest research, leveraging cloud-based solutions, and fostering open communication with stakeholders are key strategies for overcoming these challenges.

What is the difference between Llama Ai vs Data Scientist?

AspectLlama AiData Scientist
Required CredentialsKnowledge of AI models, programming skills, possibly certifications in AI or machine learningDegree in Computer Science, Statistics, or related field; often certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and fast-pacedCorporate, research institutions, consulting firms; analytical and project-based
Industry UsageAI development, machine learning applications, NLP projectsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While Llama Ai focuses on developing and implementing AI models like Llama, Data Scientists analyze data to generate insights and build predictive models. Both roles require programming skills and familiarity with machine learning, but Llama Ai is more specialized in AI model creation, whereas Data Scientists work across broader data analysis tasks.

What is the easiest Llama AI job to get into?

Entry-level roles related to Llama AI often include positions such as data annotator, labeler, or junior AI researcher, which typically require basic understanding of machine learning concepts and some familiarity with AI tools. These roles usually have minimal experience requirements and may involve tasks like data labeling or model testing, making them accessible for beginners in AI development.

What are popular job titles related to Llama Ai jobs in Riverside, CA?

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

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

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

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

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

Software Development Engineer II - AI Software Components

Redlands, CA • On-site


Esri
Scientific Research and Development Services • 1 - 5K employees

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

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 24 days ago


Job description

Overview

Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.

As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems-into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.

If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.

Responsibilities

  • Research and prototype AI-driven features for geospatial software products
  • Integrate LLMs, computer vision, and AI services into existing applications
  • Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability
  • Assist in model evaluation, benchmarking, and performance testing
  • Contribute to spec-driven development and AI-assisted coding workflows
  • Collaborate with cross-functional teams to deliver AI-powered features
  • Document experiments, prototypes, and technical approaches
  • Present findings on work; synthesize and address feedback
  • Participate in software quality and code review processes

Requirements

  • 2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions
  • Strong proficiency in Python
  • Strong understanding and the ability to develop software algorithms
  • Working knowledge of JavaScript or TypeScript
  • Experience building or integrating APIs and services
  • Database knowledge, including SQL and data modeling
  • Strong analytical and problem-solving skills
  • Effective communication and teamwork abilities
  • Bachelor's degree in Computer Science, Software Engineering or a related STEM field

Recommended Qualifications

  • Experience building RAG (Retrieval-Augmented Generation) systems
    • Familiarity with semantic search and vector databases
  • Experience with computer vision models, such as:
    • SAM (Segment Anything Model)
    • YOLO family of models
    • DINO (Distillation with No Labels)
  • Experience with Gaussian Splatting
  • Experience working with LLMs, such as:
    • ChatGPT / OpenAI models
    • Claude
    • Gemini
    • Llama
  • Experience with image and video feature tracking and extraction
  • Familiarity with Model Context Protocol (MCP) usage or development
  • Basic experience with C++
  • Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS
  • Experience or exposure to spec-driven development or AI-assisted coding
  • Master's degree in Computer Science, Software Engineering or a related STEM field

#LI-DR5

#LI-Onsite


ESRI logo

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


What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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