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Llm Engineer Jobs in Arizona (NOW HIRING)

SecondTalent

LLMOps Engineer

Phoenix, AZ · On-site

$160 - $230/hr

LLMOps Engineers are the specialists who make this manageable ... They build the operational layer that lets LLM-powered systems ship safely, measure their own ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Engineer is responsible for building, training, evaluating, and ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Engineer is responsible for building, training, evaluating, and ...

Deloitte

AI Engineer Consultant

Tempe, AZ · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Anasazi Medical Payment

Senior AI Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

We are hiring a Senior AI Engineer to design, build, and operate AI-powered automation across AMPS ... What you'll do · Design, build, and operate LLM-powered features and automations using hosted ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. * Internship or early-career experience in fintech or other regulated ...

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$103K - $142K/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 ...

American Express

Sr AI Engineer I

Phoenix, AZ · 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 ...

Robustware

AI Quality Engineer Lead

Phoenix, AZ · On-site

$71K - $92K/yr

AI Quality Engineer Lead Role: Onsite, Phoenix, AZ This role will own the end-to-end quality ... AI/LLM Validation & Assurance Ability to define and implement testing strategies for AI systems ...

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$23

$49

$71

How much do llm engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for llm engineer in Arizona is $49.98, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $58.03 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

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

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher salaries, often exceeding $200,000 with bonuses and stock options.

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

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

What are popular job titles related to Llm Engineer jobs in Arizona?

For Llm Engineer jobs in Arizona, the most frequently searched job titles are:

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

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

What cities in Arizona are hiring for Llm Engineer jobs?

Cities in Arizona with the most Llm Engineer job openings:

Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $103,954 per year, or $50 per hour.

Senior Backend Engineer - Node.js + AI/LLM

Bright Sol

Phoenix, AZ • On-site

Other

Posted yesterday

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Job description

Hiring: Senior Backend Engineer – Node.js + AI/LLM

📍 Location: Phoenix, AZ – Hybrid
💼 Type: Contract

We’re looking for a Senior Backend Engineer with strong Node.js/TypeScript + AI/LLM experience to build scalable backend systems and production-grade agentic AI solutions.

🔹 Required Skills

✅ Node.js & TypeScript
✅ Backend/API development – REST, Microservices
✅ AI/LLM systems & Agentic AI
✅ LangGraph / LangChain / Airflow or similar orchestration frameworks
✅ RAG pipelines, retrieval & grounding
✅ LLM infrastructure, inference & model gateways
✅ AWS and/or Google Cloud Platform
✅ Kubernetes
✅ Distributed systems & event-driven architectures
✅ Strong experience designing scalable, reliable backend systems
✅ Experience with Go is a plus

🔹 What You’ll Do

• Design and develop high-performance backend services and APIs
• Build and operate production-grade agentic AI systems
• Design agent orchestration, planning, tool-use and memory strategies
• Develop RAG and LLM-powered capabilities
• Drive architecture decisions around autonomy, reliability, scalability, safety and cost
• Build evaluation, observability and safety tooling for AI systems
• Lead technical design discussions and collaborate with cross-functional teams

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