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Prompt Engineering Intern Jobs (NOW HIRING)

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative ... Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

Build and test AI-powered components including inference pipelines and prompt engineering * Fix bugs and make product improvements based on real customer feedback * Create internal tools that make ...

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI ... Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation * FastAPI ...

Build and test AI-powered components including inference pipelines and prompt engineering * Fix bugs and make product improvements based on real customer feedback * Create internal tools that make ...

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Knowledge of prompt engineering, LLMs, and foundational machine learning concepts. * Tools and ...

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Knowledge of prompt engineering, LLMs, and foundational machine learning concepts. * Tools and ...

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is ... Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Knowledge of prompt engineering, LLMs, and foundational machine learning concepts. * Tools and ...

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

The AI Intern will support teams with a primary focus on organization, AI workflow development ... Knowledge of prompt engineering, LLMs, and foundational machine learning concepts. * Tools and ...

Intern

Dublin, CA · On-site

$17 - $22.50/hr

The Summer Intern will support the CDM Product Management team by executing high-impact analytical ... Prompt engineering or AI tools (e.g., LLMs, automation workflows) * Exposure to business case ...

OR · On-site

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll ... Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power ...

We're looking for an intern to help build the data foundation for this agent, with a focus on ... RAG pipelines, semantic retrieval, prompt engineering, or LLM-assisted data processing.

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Prompt Engineering Intern information

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How much do prompt engineering intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for prompt engineering intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Prompt Engineering Intern can expect to work on during their internship?

As a Prompt Engineering Intern, you can expect to collaborate closely with machine learning engineers and data scientists to craft, test, and refine prompts for large language models. Your daily tasks may include analyzing prompt performance, experimenting with wording to improve model outputs, and documenting best practices. You may also participate in team brainstorming sessions to solve challenging prompt design problems and help develop prompt evaluation frameworks. This hands-on experience can provide valuable insights into both natural language processing and the practical deployment of AI systems.

What are the key skills and qualifications needed to thrive as a Prompt Engineering Intern, and why are they important?

To thrive as a Prompt Engineering Intern, you need a solid understanding of natural language processing, strong analytical skills, and proficiency in programming languages such as Python. Familiarity with AI/ML frameworks like TensorFlow or PyTorch, experience with large language models, and knowledge of prompt design tools are highly beneficial. Creative problem-solving, attention to detail, and effective communication set candidates apart in this role. These skills are crucial for optimizing AI model outputs, ensuring high-quality user experiences, and collaborating within interdisciplinary teams.

What is the difference between Prompt Engineering Intern vs Data Analyst Intern?

AspectPrompt Engineering InternData Analyst Intern
Required SkillsPrompt design, AI/ML basics, programming (Python), creativityData analysis, SQL, statistics, Excel, visualization tools
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsBusiness, finance, healthcare sectors analyzing datasets
Industry UsageAI development, NLP projects, machine learning teamsData-driven decision making, reporting, business insights

Prompt Engineering Interns focus on designing prompts for AI models, requiring skills in AI, programming, and creativity. Data Analyst Interns analyze datasets to generate insights, emphasizing statistical and analytical skills. Both roles are common in tech and data-driven industries but serve different functions within AI development versus data analysis teams.

What is a Prompt Engineering Intern?

A Prompt Engineering Intern is an entry-level professional who assists in designing, testing, and refining prompts for AI language models, such as ChatGPT or other generative AI systems. Their work involves crafting effective prompts to elicit desired responses from AI, analyzing output quality, and optimizing prompts for various use cases. Interns often collaborate with data scientists, machine learning engineers, and product teams to improve AI performance and user experience. This role is ideal for students or recent graduates interested in artificial intelligence, natural language processing, and human-computer interaction.
What cities are hiring for Prompt Engineering Intern jobs? Cities with the most Prompt Engineering Intern job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Prompt Engineering Intern jobs? States with the most job openings for Prompt Engineering Intern jobs include:
AI Intern

AI Intern

SWBC

San Antonio, TX • On-site

$13.50 - $18/hr

Part-time

Medical, Retirement

Re-posted 18 days ago


SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.
We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.
Why you'll love this role:
As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.
Essential duties include the following:
  • Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:
  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
  • Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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