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Python Llm Jobs in Phoenix, AZ (NOW HIRING)

Entertainment Partners

Jr. Full Stack Engineer

Tempe, AZ · On-site

Write backend logic and REST API endpoints in Python/FastAPI under the guidance of senior engineers ... Build familiarity with EP's AI product portfolio and the LLM integration patterns used across the ...

Omega Hires

Java AI Developer / Lead

Phoenix, AZ · On-site

Experience with Python for AI integration is a plus. * Exposure to LLM observability, AI security, and Responsible AI practices. * Excellent communication, analytical, and problem-solving skills.

American Express

AI Engineer III

Phoenix, AZ

$57 - $76.75/hr

... LLM-based applications, or applied ML systems (professional or project-based). * Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript). * Familiarity with APIs ...

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

... years of experience with Python, focused on backend or data-driven development. * Deep ... Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.

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 ... Python, Go, TypeScript * Cloud and infrastructure: AWS and/or GCP, Kubernetes * APIs and services:

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 ... Python, Go, TypeScript * Cloud and infrastructure: AWS and/or GCP, Kubernetes * APIs and services:

SynergisticIT

Tableau/Power Bi Developer (Junior)

Peoria, AZ · On-site

$66K - $86K/yr

... LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job. If you get emails from our ...

SynergisticIT

Tableau/Power Bi Developer (Junior)

Peoria, AZ · On-site

$66K - $86K/yr

... LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job. If you get emails from our ...

SynergisticIT

Junior Java Developer

Peoria, AZ · On-site

... LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job. If you get emails from our ...

SynergisticIT

Junior Java Developer

Peoria, AZ · On-site

... LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job. If you get emails from our ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for python llm in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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DevOps Engineer - Cloud Transformation & AI Enablement

Equity Methods

Scottsdale, AZ • On-site

$53.25 - $72.75/hr

Full-time

Re-posted 20 days ago

Job description

Description
DevOps Engineer - Cloud Transformation & AI Enablement
Equity Methods is seeking a forward-thinking DevOps Engineer to join our Technology and Innovation group. This role is central to our transformation from traditional data center infrastructure to a lean, cloud-native environment powered by automation, AI, and modern DevOps practices.
You'll work across multi-cloud environments using Crossplane and Pulumi (preferably in AWS) to build scalable, secure, and observable infrastructure. You'll also collaborate with AI and product teams to integrate LLM technologies into our CI/CD pipelines and operational workflows.
This is a hands-on engineering role. Candidates should expect to write and review code during the interview process to demonstrate their technical depth and problem-solving approach.
The Role in a Nutshell
  • Lead the design and implementation of cloud-native infrastructure across AWS, Azure, and GCP using Crossplane and Pulumi.
  • Build and maintain infrastructure-as-code (IaC) pipelines to support scalable deployment of applications and data services.
  • Collaborate with data engineering and analytics teams to optimize Snowflake environments for performance, cost, and security.
  • Develop automation scripts and services using Python, TypeScript, Go, or Rust to support infrastructure provisioning, monitoring, and remediation.
  • Integrate LLM technologies into operational workflows (e.g., intelligent alerting, auto-remediation, documentation generation).
  • Partner with software engineers and product managers to ensure seamless deployment and observability of web and mobile applications.
  • Implement and manage CI/CD pipelines, container orchestration, and secrets management across environments.
  • Drive continuous improvement in system reliability, performance, and developer experience.
  • Contribute to the development of internal DevOps standards, reusable modules, and best practices.

We Are:
  • Zealous about exceptional client service and internal collaboration.
  • Agile and execution-focused, with a bias toward action and impact.
  • Growth-oriented and committed to professional development.
  • Feedback-heavy and mentoring-rich, with a culture of continuous improvement.
  • Eager to solve complex, ambiguous problems with creativity and rigor.
  • Hardworking and passionate about building the future of technology-enabled consulting.

Qualifications & Requirements:
  • 5+ years of experience in DevOps, cloud engineering, or infrastructure automation.
  • Hands-on experience with Crossplane and Pulumi in at least one cloud environment (preferably AWS).
  • Proficiency in Python, TypeScript, Go, or Rust for scripting and automation.
  • Experience managing and optimizing Snowflake environments.
  • Familiarity with integrating LLMs into DevOps workflows or operational tooling.
  • Deep understanding of CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code.
  • Exposure to web and mobile application deployment pipelines.
  • Excellent problem-solving and communication skills.
  • Background check required.

About Equity Methods
Equity Methods is a financial services consulting firm specializing in stock-based equity compensation and other complex financial reporting and valuation services. We deliver impact-rich engagements across three core practice groups: financial reporting, valuation services, and HR advisory.
With over 125 professionals and experience with over 1,000 publicly traded clients (including 50 Fortune 100 companies), Equity Methods combines the best traits of an industry-leading professional services firm with the best of an entrepreneurial, technology-enabled company. We have consistently been rated a Top Company to Work for in Arizona.

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