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Hugging Face Jobs in Arizona (NOW HIRING)

Omega Hires

Python Gen AI Developer

Phoenix, AZ

$50 - $68.75/hr

Build and integrate Generative AI/LLM solutions using OpenAI, LangChain, Hugging Face, or similar frameworks. * Implement prompt engineering, RAG pipelines, and AI automation solutions. * Collaborate ...

Donato Technologies Inc

AI Engineer Agentic AI

Phoenix, AZ · On-site

$121.60K - $160.40K/yr

PyTorch, Hugging Face, TensorFlow exposure * Validation/State Management: Pydantic, Zod Required Experience * 10+ years of experience building large-scale distributed systems. * Strong experience ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps ...

Computer Task Group, Inc

Agentic AI Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Keras, Hugging Face) * Hands-on experience with NLP and at least one domain (image, video, or voice processing) * Experience with ...

Computer Task Group, Inc

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Keras, Hugging Face) * Hands-on experience with NLP and at least one domain (image, video, or voice processing) * Experience with ...

Forhyre

Prompt Engineers

Phoenix, AZ · On-site

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow • Strong schema, validation, and state management practices using tools such as Pydantic ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99.80K - $131.40K/yr

Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow * Strong schema, validation, and state management ...

Computer Task Group, Inc

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Keras, Hugging Face) * Hands-on experience with NLP and at least one domain (image, video, or voice processing) * Experience with ...

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How much do hugging face jobs pay per hour?

As of May 30, 2026, the average hourly pay for hugging face in Arizona is $14.40, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $17.02 per hour, depending on experience, location, and employer.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior roles such as CEOs, investment bankers, specialized surgeons, and successful entrepreneurs. High earnings often require extensive experience, advanced skills, and often involve leadership or highly specialized knowledge in their fields.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Arizona? For Hugging Face jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Arizona look for? The top searched job categories for Hugging Face jobs in Arizona are:
What cities in Arizona are hiring for Hugging Face jobs? Cities in Arizona with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $29,961 per year, or $14.4 per hour.

Python Gen AI Developer

Omega Hires

Phoenix, AZ

$50 - $68.75/hr

Other

Posted 21 days ago

Job description

Job Description:

We are seeking an experienced Python Developer with Generative AI expertise to build and develop AI-powered applications and scalable backend solutions. The candidate should have hands-on experience with LLMs, APIs, cloud platforms, and modern AI frameworks.

Key Responsibilities
  • Develop Python-based applications, APIs, and microservices.
  • Build and integrate Generative AI/LLM solutions using OpenAI, LangChain, Hugging Face, or similar frameworks.
  • Implement prompt engineering, RAG pipelines, and AI automation solutions.
  • Collaborate with cross-functional teams for design, development, testing, and deployment.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Support CI/CD, deployment automation, and application monitoring.
Required Skills
  • Strong experience in Python development.
  • Hands-on experience with Generative AI and LLMs.
  • Experience with FastAPI, Flask, or Django.
  • Knowledge of LangChain, OpenAI APIs, vector databases, and prompt engineering.
  • Familiarity with Docker, Kubernetes, Git, and CI/CD tools.
  • Experience with SQL/NoSQL databases and cloud platforms.
Qualifications
  • Bachelor s degree in Computer Science or related field.
  • 7+ years of Python development experience.
  • 3+ years of experience in AI/ML or Generative AI projects.

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