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Llm Developer Jobs in Arizona (NOW HIRING)

Sr AI Engineer I

Phoenix, AZ ยท On-site

$123K - $215K/yr

The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely ...

Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... and DevOps/CI-CD practices. * Strong stakeholder communication skills - ability to translate ...

Principal AI Engineer

Phoenix, AZ ยท On-site

$180 - $230/hr

Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... and DevOps/CI-CD practices. * Strong stakeholder communication skills -- ability to translate ...

Senior Machine Learning Scientist

Scottsdale, AZ ยท On-site

$92K - $125K/yr

What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US: Seattle, Boston, Scottsdale Responsibilities * Own one or more key technical areas across LLM, MLLM, CV ...

Senior Machine Learning Scientist

Scottsdale, AZ ยท On-site

$92K - $125K/yr

What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US: Seattle, Boston, Scottsdale Responsibilities * Own one or more key technical areas across LLM, MLLM, CV ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Showing results 41-60

Llm Developer information

See Arizona salary details

$23

$46

$74

How much do llm developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for llm developer in Arizona is $46.75, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $56.68 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are the most commonly searched types of Llm Developer jobs in Arizona?

The most popular types of Llm Developer jobs in Arizona are:

What job categories do people searching Llm Developer jobs in Arizona look for?

The top searched job categories for Llm Developer jobs in Arizona are:

What cities in Arizona are hiring for Llm Developer jobs?

Cities in Arizona with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Arizona as of August 2026, with employment types broken down into 82% Full Time, 3% Part Time, 2% Temporary, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $97,237 per year, or $46.7 per hour.

Full Stack Engineer - AI Platform, Product

Riot Hospitality Group

Scottsdale, AZ โ€ข On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 18 days ago


Job description

Riot Hospitality Group is seeking a talented Full Stack Engineer (AI Platform & Product) to join our team! As a hospitality company focused on leveraging AI and emerging technology, weโ€™re shaping the future of guest experience, operations, and consumer engagement. This is the first engineering role of its kind within our organization โ€” a unique opportunity to help build and scale new products, platforms, and internal systems from the ground up. Weโ€™re looking for a highly adaptable individual who thrives in fast-paced environments, enjoys end-to-end ownership across the stack, and is excited to help establish the technical foundation of an innovation-driven business.

The Full Stack Engineer (AI Platform & Product) will:

  • Serve as the primary technical owner across the companyโ€™s AI platform, infrastructure, web, and mobile applications in a highly autonomous environment.
  • Build, launch, and maintain production-ready applications and features across web, iOS, and Android platforms.
  • Manage and optimize AI/LLM systems, including performance, scalability, reliability, and cost efficiency across production environments.
  • Build and support real-time platform features including live video, streaming, chat, and interactive user experiences.
  • Own AWS cloud infrastructure, deployments, CI/CD pipelines, and production operations across multiple services and environments.
  • Build and maintain scalable backend services, APIs, data pipelines, and cloud-based machine learning infrastructure.
  • Support AI-powered recommendation, moderation, and automation initiatives through scalable cloud and machine learning solutions.
  • Collaborate with operational and business stakeholders to identify opportunities where AI and technology can improve efficiency, scalability, workflows, and guest experience.
  • Partner with leadership to help evaluate operational challenges, prioritize technical initiatives, and shape longโ€‘term product and platform strategy.
  • Monitor system health, troubleshoot production issues, and improve observability, alerting, and operational reliability.
  • Operate with endโ€‘toโ€‘end ownership across architecture, development, deployment, support, and scaling of systems and applications.
  • Establish engineering standards, tooling, infrastructure, and technical best practices as the organization builds its internal technology function.
  • Leverage modern AI tooling, managed services, and pragmatic engineering solutions to efficiently build and scale systems.
  • Other duties as assigned.

Requirements

  • Bachelor's degree in Computer Science, Business Analytics, or similar field (or equivalent experience).
  • 5+ years of experience building, launching, and maintaining production software products end-to-end.
  • Strong full-stack engineering experience across web (React/Next.js) and mobile (React Native/Expo) applications.
  • Proven experience shipping live applications to the App Store and Google Play Store.
  • Experience working with AI/LLM platforms such as Claude, Anthropic, Bedrock, or similar tools in production environments.
  • Strong understanding of cloud infrastructure and deployments within AWS environments.
  • Experience with CI/CD pipelines, infrastructure automation, and production monitoring tools.
  • Comfortable working across multiple languages and systems, including TypeScript, Go, and Python.
  • Experience supporting real-time products and features, including live video, streaming, chat, or real-time communication systems.
  • Ability to troubleshoot, optimize, and support systems in live production environments.
  • Comfortable owning products and infrastructure with a high level of autonomy in a fast-moving startup environment.
  • Strong problem-solving, communication, and decision-making skills.
  • Ability to balance speed, scalability, reliability, and cost when building products.
  • Excellent communication skills, both written and verbal.
  • Strong attention to detail, with the ability to multitask.
  • Ability to work independently as well as collaboratively within a team.
Preferred Requirements
  • Previous startup, early-stage, or founding engineering experience.
  • Experience building or supporting live video and real-time streaming products, including mobile broadcasting and low-latency streaming.
  • Familiarity with creator-platform features such as subscriptions, in-app purchases, and App Store / Google Play compliance requirements.
  • Experience working with AI infrastructure tools such as LLM gateways, prompt caching, model evaluation, or observability platforms.
  • Exposure to retrieval systems (RAG), vector search, or AI agent/tool orchestration workflows.
  • Experience with machine learning infrastructure, recommendation systems, moderation tooling, or MLOps workflows.
  • Familiarity with high-scale real-time systems, messaging, or event-driven architectures.
  • Experience with cloud edge/CDN platforms and performance optimization tools.
  • Understanding of security, authentication, geo-compliance, or identity/access management best practices.
  • Experience working within monorepos or multi-service engineering environments.

Benefits

  • Fun work environment in a sweet location with an amazing and collaborative team!
  • Flexible work schedule to include work-from-home and in-office days
  • Access to medical, dental, vision, life insurance, short-term & long-term disability, voluntary benefits, and employee assistance program, and pet insurance
  • Paid time off including vacation, sick leave, and company holidays
  • Employee discounts at our many venues
  • Exclusive access to events, shows, and other happenings

About Riot Hospitality Group

Headquartered in Scottsdale, Arizona, Riot Hospitality Group is a premier, national hospitality management company dedicated to evolving the typical restaurant landscape into one that provides unique and meaningful experiences for each and every guest.

Here at RHG, we are passionately focused on transforming restaurant and nightlife hospitality. We have transformed the industry's landscape through pushing the envelope of the typical hospitality experience, while maintaining exceptional customer service. The brands under management include Dierks Bentley's Whiskey Row, El Hefe, Farm & Craft, Hand Cut, Riot House, CAKE, Cottontail Lounge / Living Room / WET Deck, Maya Day+Night, Shiv Steakhouse, Kauboi, Allegra, and F/Sixteen.

Our mission is simple: To make every single hospitality experience better than the last. We pride ourselves on doing this through leading by example, and our passion for excellence is derived from a lifetime dedication to learning and a commitment to true hospitality.

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