1

Python Llm Jobs in Orem, UT (NOW HIRING)

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Python * JavaScript * SQL * Zapier * Make * n8n * Clay * OpenAI APIs * HubSpot * Slack integrations ... Experience with LLM APIs, prompt orchestration, or agentic workflows * Experience with modern ...

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Python * JavaScript * SQL * Zapier * Make * n8n * Clay * OpenAI APIs * HubSpot * Slack integrations ... Experience with LLM APIs, prompt orchestration, or agentic workflows * Experience with modern ...

Senior AI Engineer - Agentic

Lehi, UT · On-site

$98K - $134K/yr

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Python * JavaScript * SQL * Zapier * Make * n8n * Clay * OpenAI APIs * HubSpot * Slack integrations ... Experience with LLM APIs, prompt orchestration, or agentic workflows * Experience with modern ...

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Software Engineer, Backend

Sandy, UT · On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Senior AI Security Engineer

UT · On-site

$107K - $147K/yr

Hands-on experience with AI systems, including building or working with AI agents, LLM-based ... Intermediate scripting or coding experience (e.g., Python, JavaScript, PowerShell) * Familiarity ...

Senior AI Security Engineer

Lehi, UT · On-site

$107K - $147K/yr

Hands-on experience with AI systems, including building or working with AI agents, LLM-based ... Intermediate scripting or coding experience (e.g., Python, JavaScript, PowerShell) * Familiarity ...

New

Software Engineer, Backend

Lehi, UT · On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Senior Financial Analyst - Strategic Finance

Lehi, UT · On-site

$80K - $100K/yr

Hands-on experience with automation tools - whether that's Python scripting, LLM-powered workflows, low-code/no-code platforms, or building on top of AI APIs. * Self-starter who takes initiative ...

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

next page

Showing results 1-20

Python Llm information

See Orem, UT salary details

$11

$50

$75

How much do python llm jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python llm in Orem, UT is $50.96, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $57.88 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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.

What are the most commonly searched types of Python Llm jobs in Orem, UT? The most popular types of Python Llm jobs in Orem, UT are:
What job categories do people searching Python Llm jobs in Orem, UT look for? The top searched job categories for Python Llm jobs in Orem, UT are:
What cities near Orem, UT are hiring for Python Llm jobs? Cities near Orem, UT with the most Python Llm job openings:
QA Automation Tech Lead

QA Automation Tech Lead

Canopy

South Jordan, UT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Hilton Grand Vacations rating

6.7

Company rating: 6.7 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

10th of 21 rated holiday rentals


Job description

QA Automation Tech Lead

Canopy, South Jordan, UT

About Us

Canopy is a fast-growing SaaS company in South Jordan, Utah building simple, powerful software for accounting firms. We're on a mission to help accountants build an autonomous firm — giving them back the time and tools they need to focus on what matters most: their clients.

We believe the accounting industry deserves world-class software, and we're building exactly that. Our Practice Management Suite is purpose-built for firms that want to work smarter, grow faster, and deliver more value to the people they serve. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way.

Click here to see why our clients (and investors) love Canopy.

Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!

The Opportunity

We are seeking a QA Automation Tech Lead with a high-level engineering pedigree to spearhead the evolution of our quality infrastructure. In this pivotal role, you will serve as the technical authority for automation across the organization while acting as the QA Automation Engineer on our Platform Squad.

Your mission is two-fold: building the foundational infrastructure that enables other squads to scale, and pioneering AI-driven tooling that empowers our manual QA engineers to transition into automation seamlessly. You won't just be maintaining a framework; you will be architecting a self-service quality ecosystem.

This position is remote eligible for candidates who currently reside in Utah.

What You'll DoStrategic Leadership & Platform Engineering
  • Architect & Innovate: Serve as the Lead IC for the Platform Squad, designing and scaling global automation infrastructure that other product squads consume.
  • AI Tooling Development: Build and deploy internal agentic AI tools and wrappers designed to lower the barrier to entry for manual QA engineers, enabling them to generate and maintain automated tests autonomously.
  • Technical Mentorship: Provide high-level guidance and code reviews for QA engineers across the company, establishing "Golden Paths" for automation excellence.
Framework & API Engineering
  • Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant environments and complex CI/CD integrations.
  • Infrastructure as Code: Work closely with DevOps to ensure testing environments are ephemeral, scalable, and integrated into the deployment pipeline via GitHub Actions.
  • Advanced API Validation: Move beyond standard assertions to build deep-level API validation suites and maintain centralized Postman collections for cross-team use.
Agile & Data Strategy
  • Data Engineering for QA: Craft complex SQL scripts and data generation utilities to simulate production-grade data across our testing environments.
  • Observability: Leverage Datadog and other monitoring tools to implement "Shift-Right" testing strategies, using production telemetry to inform automation priorities.
What We're Looking For
  • Leadership Experience: 6+ years in QA Automation with at least 1-2 years in a Lead or Staff capacity, specifically influencing technical direction or managing large-scale projects.
  • Technical Mastery: Expert-level proficiency in Python. You should be comfortable building custom libraries, wrappers, and CLI tools from scratch.
  • UI Automation Craftsmanship: Hands-on experience with modern UI testing frameworks (e.g., Playwright, Cypress, or Selenium). You write stable, deterministic tests and treat maintainability and low flakiness as first-class engineering concerns.
  • AI/ML Enthusiast: Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve engineering bottlenecks.
  • Database Depth: Strong ability to write complex SQL queries and understand relational database architecture.
  • Platform Mindset: Experience building infrastructure for other engineers. You understand that your "customers" are often the developers and QA peers in other squads.
  • Communication: The ability to translate complex technical requirements into actionable roadmaps for both technical and non-technical stakeholders.
Bonus Points
  • Cloud Native: Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes).
  • DevOps Savvy: Experience building custom GitHub Actions or complex CI/CD workflows.
  • Data Pipelines: Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines.
  • Open Source: Contributions to testing frameworks or AI-related open-source projects.

Note to Candidates: This is a high-impact role for an engineer who loves to code but wants the responsibility of shaping the future of quality at a platform level. If you prefer building tools over just writing test scripts, we want to talk to you.

We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.

Why You Want to Work Here

🌴 Flexible Paid Time Off - you're actually encouraged to use, plus 10 company holidays!

❤️‍🩹 Health Benefits - including Medical, Dental, and Vision and an HSA Match.

💰 401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.

🧠 Mental Health - all employees have access to Impact Suite & to our Employee Assistance Program (EAP).

👶 Paid New Parent Leave & Birthing Parent Leave - so you're able to care for your little ones.

➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.

🌟 Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!

🥳 Company Events - including monthly company-wide meetings, summer parties, and more.

💡 ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.

☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We've got you covered.

Our Values

We approach our work every day with a few things in mind:

🔑 Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.

🏆 Win - We win by delighting our customers with the very best products and services.

👍 Do Good - We work hard to be good people!

💡 Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.

🚀 Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.

To learn more about us & our values, click here.

Interviewing @ Canopy

Application processes can be a little stressful. Here are the stages of a typical interview process at Canopy:

  • Once your application is received, we will review it and get back to you if we feel like it's a mutual fit!
  • 20-minute phone call with the People Team
  • 45-60-minute video or in-person interview with the Hiring Manager
  • 1-3 rounds of interviews, depending on the role
  • Final Interview

Interview processes can vary depending on the role. The People Team will give you a role-specific overview of the process during your first phone call.

Remember: This is your interview too! We know candidates are evaluating us just as much as we are them. We encourage you to bring questions to each of your interviews—our hiring teams will always make sure to save time for questions at the end!

Canopy is an equal-opportunity employer. Canopy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, or veteran status.


What Hilton Grand Vacations employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom