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Temporary Large Language Model Llm Jobs in Utah (NOW HIRING)

Autonomous Solutions

AI Solutions Engineer III

Lehi, UT · On-site

$120 - $180/hr

Evaluate and integrate speech‑to‑text, large language model (LLM), and data‑structuring tooling into production pipelines. * Build fully automated AI autonomous systems for all operations.

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Architect operational capabilities for deploying, scaling, and managing sophisticated ML and Large Language Model (LLM) workflows under a robust MLOps/LLMOps strategy. * Enhance the Enterprise ...

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Architect operational capabilities for deploying, scaling, and managing sophisticated ML and Large Language Model (LLM) workflows under a robust MLOps/LLMOps strategy. * Enhance the Enterprise ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine ... Familiarity with modern LLM tooling, model serving, and inference frameworks. * Strong ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine ... Familiarity with modern LLM tooling, model serving, and inference frameworks. * Strong ...

Berkadia

Product Manager - AI

Midvale, UT · Hybrid

... AI, large language models (LLMs), agentic systems, enterprise integrations, and software delivery ... Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... g., LLM-powered applications, LangChain, LangGraph, AutoGen) and 3+ years of experience ... Large Language Models (LLMs) * PostgreSQL * Prometheus (Software) * New Relic * Redis * Telemetry ...

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Temporary Large Language Model Llm information

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the most commonly searched types of Large Language Model Llm jobs in Utah?

The most popular types of Large Language Model Llm jobs in Utah are:

What are popular job titles related to Temporary Large Language Model Llm jobs in Utah?

For Temporary Large Language Model Llm jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Temporary Large Language Model Llm jobs in Utah are:

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Cities in Utah with the most Temporary Large Language Model Llm job openings:

Temporary Large Language Model Llm jobs near you

AI Solutions Engineer III

Autonomous Solutions

Lehi, UT • On-site

$120 - $180/hr

Other

Re-posted 13 days ago

Job description

At ASI, we are revolutionizing industries with state‑of‑the‑art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we’re shaping the future of automation in dynamic markets.

As an AI Solutions Engineer III at ASI, you are responsible for leading discovery‑to‑adoption engagements across multiple departments, architecting knowledge‑capture and automation systems, and mentoring junior engineers. You define pilot scope, success metrics, and adoption plans, and serve as a senior technical authority on AI‑powered workflow and knowledge systems at ASI.

Responsibilities

  • Lead discovery‑to‑adoption engagements across multiple departments simultaneously.

  • Define pilot scope, success metrics, and adoption plans for automation and knowledge‑capture projects.

  • Architect and own the full capture, transcription, structuring, and edge‑case taxonomy pipeline for field knowledge systems.

  • Drive engineering‑workflow automation and communications‑triage programs from prototype through production handoff.

  • Produce engineering‑ready requirements documents and queryable knowledge bases consumed directly by engineering teams.

  • Mentor AI Solutions Engineers I and II on discovery methods, pipeline design, and stakeholder engagement.

  • Present pilot findings and adoption results to department leads and engineering leadership.

  • Evaluate and integrate speech‑to‑text, large language model (LLM), and data‑structuring tooling into production pipelines.

  • Build fully automated AI autonomous systems for all operations.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.

  • 5+ years of software development experience with fluency in modern AI development tools.

  • Proven track record delivering automation or knowledge‑capture systems from discovery through production.

  • Experience building capture, transcription, and structuring pipelines using speech‑to‑text, large language models (LLMs), or similar tooling.

  • Ability to lead discovery engagements and adoption planning with engineering and operations stakeholders.

  • Experience producing engineering‑ready requirements from unstructured field knowledge.

  • Active mentorship of junior engineers in a professional setting.

  • Experience building AI automation workflows.

  • Experience building vector databases.

  • Experience with Obsidian or similar knowledge‑management systems.

  • Experience building AI voice systems is a plus.

  • Experience with OpenClaw is a plus.

Application Requirement

Submit a project you have built that relates to this role as part of your application.

Physical Requirements

  • Ability to remain in a stationary position at a computer workstation constantly throughout the workday.

  • Ability to constantly operate a computer and other office productivity machinery.

  • Ability to effectively complete job responsibilities on computer monitors.

  • Ability to effectively communicate and exchange information in person, via phone, and through other electronic means.

  • Able to traverse an office environment.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non‑discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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