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Ai Rag Jobs in Utah (NOW HIRING)

Extra Space Storage, Inc.

Sr. AI Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

Duties & Responsibilities • Design, implement, and maintain scalable AI agent architectures • Own and optimize RAG pipelines, including indexing and retrieval strategies • Architect and enhance ...

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems * Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure ...

Boncom

AI Solutions Manager

Salt Lake City, UT · On-site

Build production AI features end-to-end using frontier models from Anthropic, Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step ...

Deloitte

Google AI Lead Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

Motivosity

AI Product Builder

Lehi, UT · On-site

... RAG, structured outputs, or AI workflow automation. • Comfort working directly with customers, internal users, PMs, designers, and business leaders. • Strong debugging skills across the entire ...

Kforce Technology Staffing

AI Engineer

Draper, UT · On-site

Develop and productionize LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG) pipelines, fine-tuning, and multimodal models * Build and orchestrate agentic AI ...

Motivosity

AI Product Builder

Lehi, UT

Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation. * Comfort working directly with customers, internal users, PMs, designers, and business leaders.

Motivosity

AI Product Builder

Lehi, UT · On-site

Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation. * Comfort working directly with customers, internal users, PMs, designers, and business leaders.

Motivosity

AI Product Builder

Lehi, UT · On-site

Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation. * Comfort working directly with customers, internal users, PMs, designers, and business leaders.

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Ai Rag information

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 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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

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 popular job titles related to Ai Rag jobs in Utah? For Ai Rag jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Utah look for? The top searched job categories for Ai Rag jobs in Utah are:
What cities in Utah are hiring for Ai Rag jobs? Cities in Utah with the most Ai Rag job openings:
Ai Rag jobs near you
Sr. AI Engineer

Sr. AI Engineer

Extra Space Storage, Inc.

Salt Lake City, UT • On-site

$118K - $156K/yr

Full-time

Posted 9 days ago

Extra Space Storage rating

7.0

Company rating: 7.0 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

5th of 28 rated removal and storage companies

Job description

*** Please note that this is a HYBRID role, requiring this person to work at our Cottonwood Heights office in SLC three days a week. We are not able to provide work sponsorship (i.e. OPT or H-1B visa) for this role ***
Sr. Engineer, AI
Job Summary
The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend agent architecture and frontend application performance. This role focuses on system design, performance optimization, establishing best practices across agent development and data workflows, and testing, ensuring AI capabilities are delivered through intuitive and reliable user experiences. The Senior AI Engineer also mentors junior team members and plays a key role in improving system reliability, scalability, maintainability, and the robustness of AI agents.
Duties & Responsibilities
• Design, implement, and maintain scalable AI agent architectures
• Own and optimize RAG pipelines, including indexing and retrieval strategies
• Architect and enhance Lambda-based data processing and indexing workflows
• Design and improve React application architecture and state management
• Ensure seamless integration between frontend interfaces and backend AI systems
• Optimize user experience for AI-driven applications (latency, streaming, feedback loops)
• Improve CI/CD pipelines and deployment processes across environments
• Develop and execute AI agent testing strategies, including functionality tests, performance evaluation, and contributing to red-teaming exercises
• Use DsPy or equivalent tools and methods to evaluate and improve AI agent performance
• Analyze system performance using DataDog and Databricks; implement improvements
• Mentor junior engineers and conduct code reviews across full-stack components
• Contribute to technical standards, development best practices, and agent evaluation guidelines
Qualifications
• 5-7 years of experience
• Proven experience building full-stack AI systems
Competencies
• Strong proficiency in TypeScript and Python
• Strong experience with React architecture and modern frontend patterns
• Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g. LangGraph)
• Experience designing distributed and containerized systems
• Strong experience with AWS and Azure architecture, including multi-service integration
• Experience with DynamoDB and scalable storage patterns
• Strong experience with Databricks for analytics, monitoring, and optimization
• Familiarity with AI agent testing frameworks (such as DsPy or equivalent tools) and experience with red-teaming methodologies
• Advanced debugging, troubleshooting, and performance optimization skills
• Ability to define best practices for full-stack development and frontend-backend integration
Work Environment & Physical Requirements
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.
If you are a current Extra Space employee, please apply through Jobs Hub in Workday.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Applications Deadline: Applications will be accepted until the position is filled.

What Extra Space Storage employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Extra Space Storage

Sourced by ZipRecruiter

Extra Space Storage is the fastest-growing storage company with over 2,000 stores nationwide. If you'd like to grow with us, you should consider joining the team. We look for employees who are reliable, good communicators, and have a passion for helping people.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

Cottonwood Heights, UT, US

Year founded

1977

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