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Gpt Jobs in Utah (NOW HIRING)

Java Developer with AI

Salt Lake City, UT ยท On-site

$49.25 - $63.75/hr

... GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama. - Strong knowledge of prompt engineering, AI orchestration, and model evaluation. - Experience with Docker, Kubernetes, and CI/CD pipelines ...

News Assignment Editor

Salt Lake City, UT ยท On-site

$18 - $25/hr

Experience with OpenAI Chat GPT. * Ability to scan and assess 500 to 2,000 global headlines daily. * Ability to make and track assignments for copywriters, news anchors and video editors. * Ability ...

Experience with OpenAI Chat GPT. * Ability to scan and assess 500 to 2,000 global headlines daily. * Ability to make and track assignments for copywriters, news anchors and video editors. * Ability ...

Drive AI forward transformation across the Presales Engineering organization, including prompt libraries, AI agents, approved connector strategy, custom GPT governance, MCP based workflows, knowledge ...

iOS Engineer -Remote

Logan, UT ยท Remote

$61.63 - $88.47/hr

Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 ...

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Gpt information

See Utah salary details

$34.5K

$131.3K

$192.4K

How much do gpt jobs pay per year?

As of Aug 8, 2026, the average yearly pay for gpt in Utah is $131,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $174,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working as GPT engineers, and how can they overcome them?

GPT engineers often encounter challenges such as fine-tuning models for specific tasks, managing large-scale datasets, and optimizing computational resources. They may also need to address ethical concerns and mitigate biases in generated outputs. To overcome these obstacles, engineers typically collaborate closely with data scientists, ethicists, and DevOps teams, and stay updated with the latest research and best practices in the field. Continuous learning and leveraging open-source tools can also help tackle evolving technical and ethical challenges.

What is a GPT?

A GPT job typically refers to a role related to Generative Pre-trained Transformers (GPT), which are AI models designed for natural language processing tasks. These jobs can involve developing, fine-tuning, or applying GPT models in areas like content generation, customer support automation, and AI research. Positions may include machine learning engineers, NLP researchers, or prompt engineers, depending on the specific application of GPT technology.

What are the key skills and qualifications needed to thrive as a GPT engineer, and why are they important?

To thrive as a GPT engineer, you need a strong background in machine learning, natural language processing, and programming languages such as Python, typically supported by a degree in computer science or a related field. Proficiency with deep learning frameworks (like TensorFlow or PyTorch), cloud platforms (such as AWS or Google Cloud), and experience with large language models are crucial. Strong analytical thinking, creativity, and collaborative communication are soft skills that set top performers apart in this field. These skills and qualities are vital to effectively develop, fine-tune, and deploy advanced AI language models that meet real-world applications and ethical standards.

What is the difference between Gpt vs Chatbot Developer?

AspectGptChatbot Developer
Required CredentialsKnowledge of AI, NLP, programming skillsProgramming, AI, UI/UX design
Work EnvironmentAI research labs, tech companiesSoftware companies, customer service teams
Industry UsageAI language models, automationCustomer support, interactive bots
Common Search IntentUnderstanding AI models like GptBuilding or improving chatbots

Gpt refers to advanced AI language models like OpenAI's GPT, focusing on natural language understanding and generation. Chatbot Developers design and implement chatbots, often utilizing models like Gpt. While Gpt is a technology, Chatbot Developers apply such technologies to create interactive applications. Both roles overlap in AI and programming skills but differ in focus: Gpt is a model, whereas Chatbot Developers build user-facing solutions.

What are popular job titles related to Gpt jobs in Utah? For Gpt jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Gpt jobs in Utah look for? The top searched job categories for Gpt jobs in Utah are:
What cities in Utah are hiring for Gpt jobs? Cities in Utah with the most Gpt job openings:
Infographic showing various Gpt job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, and 4% Contract. Highlights an 58% Physical, 3% Hybrid, and 39% Remote job distribution, with an average salary of $131,293 per year, or $63.1 per hour.

Java Developer with AI

OmegaHires

Salt Lake City, UT โ€ข On-site

$49.25 - $63.75/hr

Contractor

Posted 12 days ago


Job description

Java Developer with AI
**Job Role: Java Developer with AI** **Location: Salt Lake City, UT (Hybrid)** **Job Description:** ** Skills** - 6+ years of experience in Java development. - Strong expertise in Java 17/21, Spring Boot, Spring MVC, Spring Security, Spring Data JPA, and Microservices. - Experience building and consuming RESTful APIs. - Hands-on experience with Generative AI, LLMs, and AI application development. - Experience with AI frameworks such as LangChain4j, Spring AI, LangGraph, or similar. - Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS. - Experience integrating AI models such as OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama. - Strong knowledge of prompt engineering, AI orchestration, and model evaluation. - Experience with Docker, Kubernetes, and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). - Experience working with cloud platforms such as AWS, Azure, or GCP. - Strong understanding of SQL/NoSQL databases (PostgreSQL, Oracle, MongoDB, Redis). - Experience with Kafka or other messaging technologies is preferred. - Familiarity with Git, Agile/Scrum, and SDLC best practices. **Preferred Qualifications** - Experience developing AI-powered chatbots, copilots, or intelligent automation solutions. - Knowledge of MCP (Model Context Protocol) or AI agent architectures. - Experience with Python for AI integration is a plus. - Exposure to LLM observability, AI security, and Responsible AI practices. - Excellent communication, analytical, and problem-solving skills.