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Llm Engineer Remote Jobs in Arizona (NOW HIRING)

YO AI Labs

GPU Programmer - Remote

Phoenix, AZ · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

YO AI Labs

GPU Programming Expert - Remote

Phoenix, AZ · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Provn

Manager, Application & AI Security

Scottsdale, AZ · Remote

$137K - $206K/yr

Manager, Application & AI Security arrivia Remote (US) Full-time -d11f-4733-b11f- 914dddd28c06 ... LLM and Copilot usage policy, the AI and model inventory and AI-BOM, the model registry and ...

Varonis

Technical Account Manager

Phoenix, AZ · Remote

$160K - $185K/yr

Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ... Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer ...

Aprio

Senior AI Product Associate, IT

Phoenix, AZ · On-site +1

$104K - $160K/yr

Work closely with Engineering, tax accountants, and other cross functions to deliver and improve ... Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns. * Familiarity ...

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Llm Engineer Remote information

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

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 Remote jobs in Arizona?

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

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

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

What cities in Arizona are hiring for Llm Engineer Remote jobs?

Cities in Arizona with the most Llm Engineer Remote job openings:

Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

GPU Programmer - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $85/hr

Full-time

Posted 4 days ago

Job description

GPU Programmer - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan