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

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...

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 ...

Minimum 3 years of Strong knowledge of Generative AI, Large Language Models (LLMs), Agentic AI ... Knowledge of LLM infrastructure concepts such as GPU utilization, token economics, and performance ...

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 ...

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:

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:

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Exposure to AI/LLM architecture understanding how large language models consume data and how to structure pipelines that support AI-driven applications * Experience with container-based deployment ...

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Temporary Large Language Model Llm information

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 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 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 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:
What job categories do people searching Temporary Large Language Model Llm jobs in Utah look for? The top searched job categories for Temporary Large Language Model Llm jobs in Utah are:
What cities in Utah are hiring for Temporary Large Language Model Llm jobs? Cities in Utah with the most Temporary Large Language Model Llm job openings:

AI Software Engineer I

Autonomous Solutions

Logan, UT • On-site

$68K - $117K/yr

Full-time

Posted 27 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 Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and back-end development tasks, assist with integration work, and build foundational skills shipping functional software within the internal platform.
Responsibilities
  • Build front-end components and back-end services for internal applications following established architectural patterns.
  • Assist in scaffolding and configuring new tools and prototypes within the internal AI platform.
  • Support implementation of authentication flows, API wrappers, and access control features under supervision.
  • Document tool usage, configuration steps, and onboarding materials to support team adoption.
  • Participate in code reviews to receive feedback and develop software quality practices.
  • Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance.
  • Identify and escalate bugs, performance issues, and integration failures to senior engineers.
  • Contribute to cloud deployment tasks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) under direction.

Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 0-2 years of experience in full-stack software development.
  • Familiarity with front-end frameworks such as React, Vue, or Angular.
  • Exposure to back-end development using Node.js, Python, or similar languages.
  • Basic understanding of cloud platforms (AWS, Azure, or GCP).
  • Familiarity with version control workflows using Git.
  • Exposure to AI/ML APIs or large language model (LLM) integration patterns.

Physical Requirements
  • Ability to remain in a stationary position at a computer workstation for extended periods.
  • Ability to operate a computer and other office productivity equipment continuously.
  • Ability to communicate and exchange information in person, via phone, and through electronic means.
  • Ability to traverse office, lab, data center, and field environments as required.

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.