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Large Language Model Llm Jobs in Arizona (NOW HIRING)

Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. * Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks. * Conceptual ...

Senior AI Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

... hosted large language models (LLMs). This is a hands-on role with end-to-end ownership: you will ... What you'll do · Design, build, and operate LLM-powered features and automations using hosted ...

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Hands-on experience with Large Language Models (LLMs) * Practical experience with Generative AI * Playwright Automation * Model Context Protocol (MCP) * BDD Frameworks * TestNG * TestX * Java * API ...

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

... Troon's data consumable by large language models * Establish technical patterns for AI ... Deep understanding of LLM application architecture, including RAG, function calling, and agent ...

... Troon's data consumable by large language models * Establish technical patterns for AI ... Deep understanding of LLM application architecture, including RAG, function calling, and agent ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data ...

Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making ...

Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential. Key Responsibilities: * Design and develop machine learning algorithms for time ...

Staff / Principal AI Engineer

Gilbert, AZ · On-site

$170K - $190K/yr

... LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval ...

Showing results 41-60

Large Language Model Llm information

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with large language model?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.

What are the most commonly searched types of Large Language Model Llm jobs in Arizona?

The most popular types of Large Language Model Llm jobs in Arizona are:

What are popular job titles related to Large Language Model Llm jobs in Arizona?

For Large Language Model Llm jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Large Language Model Llm jobs in Arizona look for?

The top searched job categories for Large Language Model Llm jobs in Arizona are:

Infographic showing various Large Language Model Llm job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Lead Java Developer - AI & Full Stack Solutions

Cliff Services Inc

Phoenix, AZ • On-site

$52.25 - $67.25/hr

Other

Posted 28 days ago


Job description

Job Title: Lead Java Developer AI & Full Stack Solutions

Location: Phoenix, AZ (Onsite / Hybrid)

Employment Type: Contract

Job Summary

We are looking for a highly skilled Lead Java Developer with expertise in Artificial Intelligence (AI), Generative AI (LLMs, RAG, MCP), and Full Stack Development to design and build next-generation enterprise applications. In this role, you will lead the architecture, engineering, and deployment of resilient, AI-powered enterprise microservices and customer-facing web applications.

The ideal candidate brings strong hands-on experience in Java core platform engineering, integration with modern AI architectures (Retrieval-Augmented Generation, Model Context Protocol, and Large Language Models), and modern frontend frameworks (React/Angular/Node.js).

Key Responsibilities
  • Technical Leadership & Architecture: Lead the end-to-end design, development, and architectural delivery of scalable, secure Java-based backend microservices integrated with advanced AI/LLM capabilities.

  • AI & LLM Integration: Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring AI, LangChain4j, Semantic Kernel).

  • Full Stack Execution: Oversee and contribute to full stack development-connecting modern frontend frameworks (React.js, Angular, or Vue.js) with AI-enhanced RESTful and GraphQL APIs.

  • Enterprise Security & Governance: Implement enterprise-grade security, data protection, privacy controls, and API governance suitable for large-scale financial and payment systems.

  • Engineering Best Practices: Drive code reviews, automated unit/integration testing, CI/CD pipeline automation, observability/monitoring, and performance tuning across the cloud stack (AWS/Google Cloud Platform/Azure).

  • Mentorship & Collaboration: Guide and mentor software engineers, partner closely with Data Scientists, AI Engineers, Product Managers, and Solution Architects to translate business requirements into technical reality.

Required Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  • Core Java Leadership: 8+ years of hands-on Java engineering experience (Java 17/21, Spring Boot, Spring Cloud, Microservices, Event-driven architecture with Kafka/RabbitMQ).

  • AI / GenAI Expertise: 2+ years of practical experience integrating AI capabilities into enterprise applications:

    • Building RAG pipelines utilizing Vector Databases (e.g., Pinecone, Milvus, pgvector, Qdrant).

    • Hands-on familiarity with MCP (Model Context Protocol) standards, tools, and agentic workflows.

    • Integration with LLM APIs (OpenAI, Anthropic Claude, Llama, Bedrock, Vertex AI) using Spring AI or LangChain4j.

  • Full Stack Development: Proficiency in frontend web technologies (React.js, Angular, TypeScript, HTML5/CSS3) and backend API integrations.

  • Cloud & DevOps: Deep expertise in Cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines (Jenkins/GitHub Actions), and infrastructure-as-code.

  • Location: Based in or willing to work onsite/hybrid in Phoenix, AZ.