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Large Language Model Llm Jobs in Arizona (NOW HIRING)

Koantek

Data Scientist

Chandler, AZ · On-site

Strong experience in Generative AI and Large Language Model (LLM) applications. * Hands-on experience with LangChain or similar AI orchestration frameworks. * Solid understanding of Machine Learning ...

Koantek

Data Scientist

Chandler, AZ

Strong experience in Generative AI and Large Language Model (LLM) applications. Hands-on experience with LangChain or similar AI orchestration frameworks. Solid understanding of Machine Learning ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

You will blend traditional backend Java development with cutting-edge artificial intelligence, machine learning (ML), and Large Language Model (LLM) architectures. Key Responsibilities Backend ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ · On-site

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ · On-site

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

Implement transformer-based models and large language model (LLM) integrations for production use cases including NLP, information extraction, classification, and generation. * Apply parameter ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

Implement transformer-based models and large language model (LLM) integrations for production use cases including NLP, information extraction, classification, and generation. * Apply parameter ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

NOAO

Principal Software Architect

Tucson, AZ

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

NSF's NOIRLab

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

AURA

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

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All JobsLarge Language Model Llm JobsLarge Language Model Llm Jobs in Arizona

Large Language Model Llm information

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 is a Large Language Model (LLM) job?

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.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, healthcare professionals, and skilled tradespeople are likely to continue thriving as AI automates routine tasks. These roles require complex decision-making, emotional intelligence, or manual skills that are difficult for AI to replicate fully. Continuous learning and adaptability remain important for job security in these fields.

What jobs can I do with LLM?

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, often requiring skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Large Language Model Llm position, and why are they important?

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 pay 500,000 a year?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve leadership, risk management, or highly specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.
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:
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Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Data Scientist

Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Posted 7 days ago

Job description


Job Title: Data Scientist / Senior Data Scientist
Job Description:
We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments.
Key Responsibilities:
  • Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
  • Develop end-to-end ML pipelines and support deployment of models into production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions.
  • Monitor, maintain, and improve model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Required Skills:
  • Strong experience in Generative AI and Large Language Model (LLM) applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of Machine Learning concepts including:
    • Predictive Modeling
    • Classification
    • Regression
    • Time Series Analysis
  • Experience with ML Ops practices and deploying machine learning models into production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience with Databricks is a plus.
  • Familiarity with cloud-based AI/ML environments.
  • Experience working in enterprise-scale AI initiatives.

Experience Required:
  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.

Apply