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Python Llm Jobs in Orem, UT (NOW HIRING)

Proofpoint

Staff Software Engineer

Draper, UT · On-site

This person will work in a Python-first monorepo that powers communications capture, compliance ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

Proficient in Python and familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn ... Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS ...

BambooHR

Staff Software Engineer

Draper, UT · Hybrid

This team creates the foundation for AI-first development across the company, including LLM ... Service Development in a language like PHP, Python, Java, or C#, and a desire to work in Python

Kforce Technology Staffing

AI Engineer

Draper, UT

... Python (pandas, scikit-learn, PySpark) and SQL * Implement MLOps best practices, including CI/CD pipelines, model versioning, monitoring, evaluation, and reproducibility * Evaluate model and LLM ...

Atonom

AI Product Specialist

Provo, UT · On-site

AI/LLM Native:You have moved beyond "tech-curious" and have practical experience or a deep ... Experience with Python or JavaScript. * Deep familiarity with Salesforce, HubSpot, or similar ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Strong proficiency in Python and SQL * Production experience with PostgreSQL (schema design ... Exposure to AI/LLM architecture understanding how large language models consume data and how to ...

Atonom

AI Product Specialist

Provo, UT

AI/LLM Native:You have moved beyond "tech-curious" and have practical experience or a deep ... Experience with Python or JavaScript. * Deep familiarity with Salesforce, HubSpot, or similar ...

Atonom

AI Product Specialist

Provo, UT · On-site

$50K - $90K/yr

AI/LLM Native: You have moved beyond "tech-curious" and have practical experience or a deep ... Experience with Python or JavaScript. * Deep familiarity with Salesforce, HubSpot, or similar ...

Enzo Health

Security Architect

Lehi, UT · On-site

$61 - $78.75/hr

Offensive tooling, AI-assisted fuzzing, and LLM-powered scanners have compressed time-to-exploit ... Strong programming skills in Python, TypeScript/Node, Go, or Rust * Experience securing cloud ...

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

... as Go, Python, or Elixir. • 1+ years of professional experience deploying and maintaining AI ... LLM behavior -- including accuracy, safety, reliability, and cost monitoring. • Strong ...

Adobe

Senior Platform & AI Engineer

Lehi, UT

$51.75 - $67/hr

... including LLM agents and intelligent automation-this is your ideal next step. What you'll do ... in Python programming language preferably using PySpark Software development experience working ...

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How much do python llm jobs pay per hour?

As of Jun 15, 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.

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Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

Adobe

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Posted 18 days ago

Job description

Job Summary:
Adobe is hiring a Senior Data Science Engineer to build practical AI and data systems for its Digital Experience business. This role focuses on developing infrastructure for GenAI agents and customer intelligence products, requiring hands-on engineering to create data pipelines and AI workflows.
Responsibilities:
• Build production data pipelines, feature workflows, and platform services using Python, SQL, Spark, Databricks, Delta Lake, APIs, and cloud tools.
• Create LLM-powered agents and AI workflows that summarize customer signals, generate insights, recommend actions, and reduce manual work.
• Own platform components such as data ingestion, orchestration, semantic layers, tool integrations, access patterns, monitoring, and reliability.
• Combine structured and unstructured data from usage, adoption, support, success, value, account, and operational systems.
• Improve GenAI quality through evaluation, retrieval design, prompt and tool design, feedback loops, and production monitoring.
• Strengthen data quality, lineage, alerting, access control, governance, and operational support.
• Partner with product, engineering, data science, business operations, and customer-facing teams to turn priority problems into working systems.
• Apply strong engineering practices through Git, code review, CI/CD, Databricks Repos, documentation, and reproducible development.
Qualifications:
Required:
• 8+ years in data engineering, machine learning engineering, data science engineering, analytics engineering, platform engineering, or a related technical role.
• Production work with Python, SQL, Spark, Databricks, Delta Lake, distributed data processing, and workflow orchestration.
• Hands-on work with GenAI or LLM systems, including agents, copilots, retrieval-augmented generation, semantic search, tool/function calling, prompt workflows, or AI automation.
• Strong knowledge of data modeling, data quality, lineage, access control, observability, and scalable pipeline design.
• Ability to guide work from discovery through architecture, development, deployment, monitoring, adoption, and iteration.
• Good judgment on when to prototype, when to harden for production, and how to manage technical debt.
• Clear communication with technical teams, business stakeholders, and senior leaders.
• Ability to work independently, navigate ambiguity, prioritize high-impact work, and deliver in a fast-moving environment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.
Preferred:
• Internal AI platforms, agent platforms, customer intelligence systems, or reusable data infrastructure.
• LLM evaluation, prompt evaluation, model monitoring, human feedback loops, AI governance, or responsible AI practices.
• Azure, AWS, or GCP, including secure deployment patterns and service integrations.
• Databricks Workflows, Airflow, Dagster, or similar orchestration tools.
• APIs, microservices, event-driven workflows, or application integrations.
• Vector databases, embeddings, semantic search, knowledge graphs, graph databases, Elastic Stack, Kafka, or Kinesis.
• Customer health, retention, adoption, growth, value realization, or enterprise SaaS operating models.
• Adobe Experience Cloud, Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, or related Digital Experience products.
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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