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Internship Generative Ai Prompt Engineer Jobs in Utah

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Java Developer with AI

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

... Generative AI, LLMs, and AI application development. - Experience with AI frameworks such as ... Llama. - Strong knowledge of prompt engineering, AI orchestration, and model evaluation ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

Showing results 21-40

Internship Generative Ai Prompt Engineer information

What is the difference between Internship Generative Ai Prompt Engineer vs Data Analyst?

AspectInternship Generative Ai Prompt EngineerData Analyst
Required CredentialsRelevant coursework, basic understanding of AI and NLPBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageAI development, NLP projects, prompt optimizationData collection, analysis, reporting, visualization

While both roles involve working with data and technology, the Internship Generative Ai Prompt Engineer focuses on designing prompts for AI models, whereas a Data Analyst interprets data to inform business decisions. The prompt engineer role emphasizes AI and NLP skills, often in tech environments, while data analysts work across various industries analyzing datasets for insights.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Utah? The most popular types of Generative Ai Prompt Engineer jobs in Utah are:
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AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 2 days ago


Job description

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh