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Prompt Engineering Internship Jobs in Texas (NOW HIRING)

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.

Bridgehead IT, LLC

AI Solutions Engineer

San Antonio, TX · Hybrid

... internships; aptitude and learning ability are prioritized over years of experience. * Hands-on experience with AI tools and LLM platforms such as OpenAI or Claude, including prompt engineering and ...

Bridgehead IT

AI Solutions Engineer

San Antonio, TX · On-site

... internships; aptitude and learning ability are prioritized over years of experience. * Hands-on experience with AI tools and LLM platforms such as OpenAI or Claude, including prompt engineering and ...

Bridgehead IT LLC

AI Solutions Engineer

San Antonio, TX · On-site

... internships; aptitude and learning ability are prioritized over years of experience. * Hands-on experience with AI tools and LLM platforms such as OpenAI or Claude, including prompt engineering and ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

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Prompt Engineering Internship information

What is the stipend for prompt engineer intern?

The stipend for a prompt engineering internship varies depending on the company and location but typically ranges from $1,000 to $3,000 per month. Interns often work part-time or full-time and may also receive mentorship and skill development opportunities.

What is a Prompt Engineering Internship job?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

Is 22 too old for an internship?

Prompt Engineering Internships are open to candidates of various ages, including those in their early twenties. Age is generally not a barrier, and employers often value skills, relevant experience, and a willingness to learn over age. Many internships welcome diverse applicants, regardless of age, especially if they demonstrate enthusiasm and technical aptitude.

What kinds of projects or responsibilities can I expect during a Prompt Engineering Internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

What are the key skills and qualifications needed to thrive in the Prompt Engineering Internship position, and why are they important?

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

What jobs can I get with prompt engineering?

Prompt engineering skills are valuable in roles such as AI/ML engineer, data scientist, NLP specialist, or AI product manager, where designing effective prompts improves AI model outputs. These positions often require knowledge of machine learning, programming, and AI tools like language models. The role involves developing, testing, and refining prompts to optimize AI performance in various applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various industries. Demand for prompt engineers is increasing, especially for roles involving AI development, natural language processing, and expertise with tools like GPT models, making it a valuable skill set for tech-focused positions.
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Prompt Engineering Internship jobs near you
AI Engineering Intern (Python & Agentic AI)

AI Engineering Intern (Python & Agentic AI)

Plutus Health

Addison, TX

$16.25 - $21/hr

Other

Posted 27 days ago

Job description

AI Engineering Intern (Python & Agentic AI)
Dallas, TX (Onsite)
Summer Internship (3-6 Months)

About the Role

Artemis ABA is seeking AI Engineering Interns to help build AI-powered healthcare automation products. You will work directly with our engineering and leadership team to develop Python adapters, AI agents, integrations, and workflow automation solutions.


Responsibilities

  • Build Python-based adapters and API integrations
  • Develop AI workflows using OpenAI, Claude, and other LLMs
  • Assist in creating AI-powered session notes and documentation tools
  • Support development of AI calling and communication agents
  • Work with databases, APIs, and cloud services
  • Test, debug, and optimize AI solutions
  • Collaborate with senior engineers on real-world healthcare AI projects


Preferred Skills

  • Pursuing BS/MS in Computer Science, AI, Data Science, or related field
  • Strong Python programming skills
  • Experience with OpenAI APIs, LangChain, LlamaIndex, or AI projects
  • Knowledge of REST APIs and JSON
  • Familiarity with Git/GitHub
  • Understanding of prompt engineering and RAG concepts
  • AWS knowledge is a plus


Nice to Have

  • Built personal AI projects
  • Hackathon participation
  • Experience with automation tools and agent frameworks


What You'll Gain

  • Hands-on experience building production AI systems
  • Mentorship from AI and product leaders
  • Work on healthcare AI products used by real clinicians and businesses

Apply