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Prompt Engineer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend ...

Black Box Corporation

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend ...

Copart, Inc.

Site Reliability Engineer Intern

Dallas, TX · On-site

$56.50 - $75/hr

... Engineer Intern to join our SRE team at our Dallas location. This role is pivotal in ensuring the ... prompt-based tools, or automation-enhanced support processes. * Ability to leverage AI tools to ...

Fanniemae

Campus - Technology Program Intern

Plano, TX · On-site

$41.50/hr

THE IMPACT YOU WILL MAKE As a Technology Program Intern , you enjoy solving complex technical ... Vibe coding / Prompt Engineering * Agentic AI Development Data Engineering * Predictive Analytics ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: * Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Ericsson

Software Engineer AIML-Intern

Plano, TX · Hybrid

Programming fundamentals: Strong Python + SQL + basic testing ML fundamentals (Regression ... prompt injection awareness, guardrails, human-in-the-loop Vector search: Any kind of VectorDB ...

Commercial Metals Company

AI Intern- Recycling

Irving, TX · On-site

$14 - $18.75/hr

Exposure to Microsoft Copilot, generative AI tools, prompt engineering, or AI-assisted productivity workflows * Working knowledge of one or more of the following: Excel analytics, Power BI, SQL ...

Commercial Metals Company

AI Intern- Recycling

Irving, TX · On-site

$14 - $18.75/hr

Exposure to Microsoft Copilot, generative AI tools, prompt engineering, or AI-assisted productivity workflows * Working knowledge of one or more of the following: Excel analytics, Power BI, SQL ...

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All JobsPrompt Engineer Intern JobsPrompt Engineer Intern Jobs in Texas

Prompt Engineer Intern information

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

AspectPrompt Engineer InternData Analyst Intern
Required SkillsPrompt design, AI/ML basics, programming (Python), creativityData analysis, SQL, Excel, statistical skills
Work EnvironmentAI development teams, tech startups, research labsBusiness, finance, marketing departments
Industry UsageAI, machine learning, NLP projectsData-driven decision making across industries

Prompt Engineer Interns focus on designing effective prompts for AI models, requiring skills in AI concepts and programming. Data Analyst Interns analyze datasets to inform business decisions, emphasizing data skills. Both roles are common in tech and business sectors, but they serve different functions within organizations.

Are prompt engineer interns still in demand?

Prompt engineer interns are increasingly in demand as organizations seek to develop and optimize AI language models. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable for these roles, which are often found in tech companies and AI startups. The demand is expected to grow as AI applications expand across industries.

What is a prompt engineer intern?

A prompt engineer intern is a trainee who assists in designing and refining prompts for AI language models to improve their responses. The role involves understanding natural language processing, working with AI tools, and applying technical skills to optimize model performance under supervision. It is typically an entry-level position for those interested in AI development and machine learning.

What are the most commonly searched types of Prompt Engineer jobs in Texas?

The most popular types of Prompt Engineer jobs in Texas are:

Prompt Engineer Intern jobs near you

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 11 days ago

Key responsibilities

  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.

  • Build AI-enabled user interfaces and integrate them with backend services, including developing and maintaining backend APIs and services.

  • Build and maintain data pipelines, support testing, debugging, deployment, and monitoring of AI services on Azure.

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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