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Ai Prompt Engineer Internship Jobs in Rochester, MN

Mayo Clinic

Software Engineer - Hybrid

Rochester, MN · Hybrid

$102K - $143K/yr

Familiarity with modern tools for generative AI, including large language models, prompt ... Working knowledge and experience of Software Engineering with a minimum of internships and a ...

Mayo Clinic

Software Engineer - Hybrid

Rochester, MN · On-site

... minimum of internships and a minimum of 1 yr. of experience, or 2 yrs of experience coding ... generative AI, including large language models, prompt engineering, and retrieval augmented ...

Mayo Clinic

Software Engineer - Hybrid

Rochester, MN · On-site

Working knowledge and experience of Software Engineering with a minimum of internships and a ... Familiarity with modern tools for generative AI, including large language models, prompt ...

Quora

AI Automation Engineer -Remote

Rochester, MN · On-site

$202K - $234K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN · On-site

$67K - $78K/yr

... Interns sponsored by Mayo Clinic. Qualifications Ph.D. in Computer Science, Electrical Engineering, or a related field with a strong emphasis on AI, machine learning, or related fields. Candidates ...

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How much do ai prompt engineer internship jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for ai prompt engineer internship in Rochester, MN is $25.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Prompt Engineer Intern, and why are they important?

To thrive as an AI Prompt Engineer Intern, you need a strong understanding of natural language processing, programming fundamentals (such as Python), and foundational AI concepts, typically supported by coursework or relevant project experience. Familiarity with AI development tools like OpenAI's GPT platforms, prompt engineering frameworks, and version control systems (e.g., Git) is essential. Creativity, attention to detail, and effective communication are standout soft skills that help interns craft and test high-quality prompts. These skills are crucial for designing effective AI interactions, collaborating with technical teams, and driving innovation in AI solutions.

What are some typical projects or tasks an AI Prompt Engineer Intern might work on during their internship?

As an AI Prompt Engineer Intern, you'll likely work on designing, testing, and refining prompts to optimize AI model outputs for various applications. Your daily tasks may include collaborating with data scientists and developers, conducting prompt experiments, analyzing model responses, and documenting results to improve prompt effectiveness. This role often involves brainstorming creative ways to elicit accurate and useful answers from AI systems, as well as staying updated on prompt engineering best practices. Interns may also participate in team meetings to discuss findings and contribute to ongoing product or research initiatives.

What is an AI Prompt Engineer Internship?

An AI Prompt Engineer Internship is a temporary or entry-level position where interns learn to design, test, and optimize prompts for AI language models, such as ChatGPT. Interns work with teams to refine how AI responds to user input, ensuring the outputs are accurate, relevant, and ethical. This role combines knowledge of AI, programming, and communication to improve conversational AI systems. Interns may also contribute to research, data analysis, and the development of best practices for prompt engineering.
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Ai Prompt Engineer Internship jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • On-site

Other

Re-posted 22 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