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Internship Conversation Design Jobs in Texas (NOW HIRING)

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine ... Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and ...

Software Engineer (AI/ML)

Austin, TX · On-site

$110 - $170/hr

Build and improve the real-time voice AI pipeline: speech-to-text, conversational LLM orchestration ... Hands‑on experience building with LLMs in production: prompt design, model evaluation, latency ...

Deliver an Exceptional Employee Experience Design and continuously improve every stage of the ... You're equally comfortable coaching a manager through a difficult employee conversation, advising ...

Software Engineer (AI/ML)

Austin, TX · On-site

$120 - $190/hr

Build and improve the real-time voice AI pipeline: speech-to-text, conversational LLM orchestration ... Hands‑on experience building with LLMs in production: prompt design, model evaluation, latency ...

If you're looking to join a group of people as driven as you are, let's start a conversation at www ... Ensure the quality of design strengthens and supports our brands, ensuring message consistency and ...

Developed a clear sense of the domains that energize you and grounding a concrete conversation ... You've built something real -- a project, internship, hackathon entry, or open-source contribution ...

Showing results 21-40

Internship Conversation Design information

What are the key skills and qualifications needed to thrive as an internship conversation designer, and why are they important?

To thrive as an Internship Conversation Designer, you generally need a foundation in linguistics, UX design, or related fields, along with strong writing and analytical skills. Familiarity with conversational AI platforms (like Dialogflow or Microsoft Bot Framework) and basic understanding of prototyping tools or scripting languages is typically expected. Creativity, attention to detail, and effective communication are valuable soft skills in this position. These abilities enable the creation of engaging, user-friendly conversational experiences that meet business and user needs.

What is the difference between Internship Conversation Design vs Conversation Designer?

AspectInternship Conversation DesignConversation Designer
CredentialsTypically pursuing or recent graduate in UX, HCI, or related fieldsUsually requires experience or a degree in UX, linguistics, or related areas
Work EnvironmentInternship programs, entry-level projects, learning-focusedFull-time, professional projects, strategic design
Employer & Industry UsageTech companies, startups, research labsTech firms, AI companies, customer service platforms

Internship Conversation Design is an entry-level role focused on learning and supporting conversation design tasks, often as part of an internship program. In contrast, a Conversation Designer is a professional responsible for creating and optimizing conversational interfaces, requiring more experience and expertise. Both roles are essential in the industry, but they differ mainly in experience level and scope of responsibilities.

What types of projects can I expect to work on during an internship in conversation design?

As a Conversation Design intern, you will typically work on projects such as creating and refining chatbot scripts, designing voice assistant flows, and conducting user testing to improve conversational interfaces. You may also collaborate with product managers, UX designers, and developers to ensure the conversation flows align with user needs and technical constraints. These projects offer hands-on experience with real-world conversational AI platforms and help you build a strong portfolio for future roles in conversational AI or UX design.

What is an internship in conversation design?

An Internship in Conversation Design is a temporary position where students or recent graduates gain practical experience in designing conversational interfaces, such as chatbots and voice assistants. Interns learn to create dialogue flows, write natural-sounding responses, and collaborate with engineers and designers to improve user interactions. This role helps interns develop skills in UX writing, linguistics, and AI technology, preparing them for future careers in conversation design or related fields. Internships typically last a few months and may be paid or unpaid, depending on the organization.
What are the most commonly searched types of Conversation Design jobs in Texas? The most popular types of Conversation Design jobs in Texas are:
What cities in Texas are hiring for Internship Conversation Design jobs? Cities in Texas with the most Internship Conversation Design job openings:

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 26 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 18 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
Core Duties & Responsibilities:
AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.
Required Skills:
Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
AI & LLM Foundational Knowledge:
Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
Backend & Concurrency (Java/Spring):
Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
Experience writing Unit tests using JUnit and mocking frameworks.
Frontend (React/Modern JS):
Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).
Soft Skills & Mindset:
Excellent problem-solving skills and a strong mathematical/logical foundation.
Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
Skilled in technical writing, including documenting AI system architectures and data flows.
Additional Skills (Nice to Haves):
AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
Data & Databases:
Experience writing SQL and stored procedures.
Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
DevOps & Deployment:
Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
Basic knowledge of Unix/Linux environments
#LI-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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