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Llm Developer Jobs in Provo, UT (NOW HIRING)

LVT

AI Specialist

American Fork, UT

You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work ...

Xenter, Inc.

Sr. Flutter / Mobile App Engineer

Draper, UT · On-site

$110 - $170/hr

Build against our LLM chat backend with role-scoped prompts and PHI-safe streaming * Own testing at ... Provide technical mentorship to other mobile engineers and help establish mobile engineering ...

Podium

Staff AI Engineer - Utah

Lehi, UT

Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Podium

Staff AI Engineer - USA

Lehi, UT · On-site +1

Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Atonom

AI Product Specialist

Provo, UT · On-site

AI/LLM Native: You have moved beyond "tech-curious" and have practical experience or a deep conceptual understanding of Large Language Models (LLMs) and prompt engineering. * Consultative ...

Atonom

AI Product Specialist

Provo, UT · On-site

AI/LLM Native:You have moved beyond "tech-curious" and have practical experience or a deep conceptual understanding of Large Language Models (LLMs) and prompt engineering. * Consultative Communicator:

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 conceptual understanding of Large Language Models (LLMs) and prompt engineering. * Consultative ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Practical experience designing and implementing evaluations for LLM behavior - including accuracy ... Strong understanding of prompt design, context engineering, and guardrail strategies for dependable ...

Cricut

Lead Agentic Software Engineer

South Jordan, UT · On-site

At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic ...

Cricut

Lead Agentic Software Engineer

South Jordan, UT · On-site

At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic ...

Cricut

Lead Agentic Software Engineer

South Jordan, UT · On-site

At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic ...

Biolite

Embedded Systems Engineer II

Midvale, UT

$115K - $130K/yr

Engineering Manager Compensation: A base salary range of $115,000-$130,000 gross per year ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

BioLite

Embedded Systems Engineer II

Midvale, UT · On-site

$115K - $130K/yr

Engineering Manager Compensation: A base salary range of $115,000-$130,000 gross per year ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

Biolite

Embedded Systems Engineer II

Midvale, UT · On-site

$115K - $130K/yr

Engineering Manager Compensation: A base salary range of $115,000-$130,000 gross per year ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

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How much do llm developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for llm developer in Provo, UT is $47.45, according to ZipRecruiter salary data. Most workers in this role earn between $37.31 and $57.55 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.

What are popular job titles related to Llm Developer jobs in Provo, UT?

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What cities near Provo, UT are hiring for Llm Developer jobs?

Cities near Provo, UT with the most Llm Developer job openings:

Llm Developer jobs near you

AI Specialist

LVT

American Fork, UT

Full-time

Re-posted 21 days ago

Job description

ABOUT THIS ROLE

LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As an AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at scale, and partner cross-functionally to turn AI from an experiment into a competitive advantage. This is an individual contributor role reporting into IT leadership - you'll work directly with Data Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy, rationalize our AI tool investments, and embed intelligent components within our automation workflows.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Execute LVT's AI adoption strategy, owning the roadmap of AI initiatives and driving measurable business value across departments.

  • Develop and own LVT's internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.

  • Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend.

  • Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions.

  • Architect the AI strategy at the intersection of automation - defining where and how AI augments workflows built on platforms like Workato and Oracle Integration Cloud (OIC).

  • Design and build the AI components embedded within automation flows, partnering with the Automation Integrations team to ensure seamless, intelligent execution.

  • Champion AI literacy and adoption across LVT, partnering with business leaders to identify high-impact opportunities and drive measurable outcomes.

  • Communicate AI strategy and progress to executive leadership, translating technical direction into clear business outcomes.

OUR IDEAL CANDIDATE

  • AI Practitioner First: You have built and shipped LLM-based systems in production - not just used AI-powered SaaS tools. Strategy matters, but your hands are in the code.

  • Proven AI Depth: You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work does not qualify. We need someone who can build the systems, not just use them.

  • Platform Fluent: You understand enterprise automation platforms (Workato, OIC, or equivalent) and can reason clearly about where AI fits within complex integration flows.

  • Tech Stack Evaluator: You know how to assess embedded AI features across SaaS and enterprise tools - cutting through vendor marketing to determine what's actually delivering value, what's redundant, and what should go.

  • Policy-Minded: You've developed or contributed to AI governance frameworks, usage policies, or organizational AI standards - and you understand the stakes of getting it right.

  • Cross-Functional Influencer: You build trust with engineering, operations, and executive stakeholders alike, and know how to move initiatives forward without direct authority over every team involved.

  • Data-Environment Comfortable: You're experienced working within data platforms (e.g., Snowflake, Cortex) and partnering with data engineering teams to bring AI models from concept to production.

  • Outcome-Oriented: You measure your work by business impact - adoption rates, efficiency gains, cost reduction - not by the sophistication of the model you shipped.

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