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Internship Generative Ai Prompt Engineer Jobs in Utah

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

Proven experience with Generative AI (prompt engineering, fine-tuning, RAG) combined with traditional software engineering skills (API design, CI/CD pipelines, Git). * Exceptional debugging, problem ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

OmegaHires

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 ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

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

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

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

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Internship Generative Ai Prompt Engineer information

Can I become an AI prompt engineer with no experience?

Yes, it is possible to become an AI prompt engineer with no prior experience, but developing skills in natural language processing, understanding AI models, and practicing prompt design are essential. Entry-level roles often require self-study, online courses, or tutorials to build foundational knowledge and demonstrate your ability to craft effective prompts.

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.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize generative AI models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with AI tools like GPT, making it a growing field with expanding job opportunities.

How much do AI engineer interns get paid?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and their level of experience. Internships often provide hands-on experience with tools like Python and machine learning frameworks, and compensation can vary based on the industry and internship duration.

How much do AI prompt engineers get paid?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced prompt engineers working with advanced generative AI models can command higher salaries, especially in tech hubs or specialized sectors.
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Internship Generative Ai Prompt Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ogden, UT • On-site

Other

Re-posted 10 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

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

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply