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Intern Chatgpt Prompt Engineer Jobs in Texas (NOW HIRING)

... such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks ... Technical Experimentation & Evaluation · Conduct benchmarking, model evaluation, prompt ...

ChatGPT, Microsoft Copilot) to support everyday work. Visa requires at least 3 days in office ... Proficiency with object oriented programming languages, such as Python, C++, Java, and Lua.

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 ...

AI Solutions Engineer

Dallas, TX · On-site

$150 - $200/hr

Integrate AI solutions with Hillwood's existing technology stack, including Claude API, ChatGPT ... Own technical solution quality, including prompt engineering, structured outputs, output validation ...

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

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

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

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

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 ...

Integrate AI solutions with Hillwood's existing technology stack, including Claude API, ChatGPT ... Own technical solution quality, including prompt engineering, structured outputs, output validation ...

Student Intern

Sugar Land, TX · On-site

$15 - $19.50/hr

Support materials and mechanical engineering teams in organizing and validating engineering data ... Exposure to Microsoft Copilot, ChatGPT, Azure OpenAI, or GitHub Copilot. * Familiarity with Python ...

Showing results 41-60

Intern Chatgpt Prompt Engineer information

What is the difference between Intern Chatgpt Prompt Engineer vs Intern Data Scientist?

AspectIntern Chatgpt Prompt EngineerIntern Data Scientist
Required SkillsPrompt engineering, AI language models, basic programmingData analysis, statistics, programming (Python/R)
Work EnvironmentAI/ML teams, tech companies, startupsData teams, research labs, tech companies
Common CertificationsNone mandatory, AI/ML courses helpfulStatistics, data analysis certifications
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Intern Chatgpt Prompt Engineers focus on designing effective prompts for AI language models, requiring skills in prompt engineering and basic programming. Intern Data Scientists analyze data to extract insights, often needing statistical knowledge and data analysis skills. While both roles are in tech industries and may require some programming, their core responsibilities differ significantly, with prompt engineers working on AI interaction and data scientists on data analysis.

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

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

What cities in Texas are hiring for Intern Chatgpt Prompt Engineer jobs?

Cities in Texas with the most Intern Chatgpt Prompt Engineer job openings:

AI Engineer

1 point system

Plano, TX • On-site

Contractor

Re-posted 23 days ago


Job description

Requirement - AI Engineer

Location- Plano, Texas(Onsite)

Contract W2

Requirements

Essential Functions:                                                                                                              

Description / Essential Functions:

AI Research & Emerging-Tech Exploration

·       Continuously research advancements in AI/ML, with a strong focus on Generative AI, LLM architectures, agent frameworks, and multimodal models.

·       Evaluate emerging tools, frameworks, and APIs such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks, orchestration tools, and model hosting platforms.

·       Identify opportunities where new AI capabilities can solve business problems or streamline client’s operations.

Rapid Prototyping & Hands-On Development

·       Build rapid, functional prototypes with a strong hands-on coding approach using Python, modern AI SDKs, and model APIs.

·       Develop experimental features and concepts that validate feasibility before engineering teams take them to production.

·       Design, test, and iterate on AI workflows, pipelines, agentic systems, and retrieval-augmented applications.

Technical Experimentation & Evaluation

·       Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance.

·       Compare models, frameworks, and architectures to recommend best-fit technologies for production teams.

·       Document findings with clarity, experiment logs, model performance summaries, reproducible code samples, and technical write-ups.

Collaboration With Engineering & Stakeholders

·       Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems.

·       Translate experimental results into actionable recommendations for architecture, infrastructure, and model deployment.

·       Engage with product managers, business partners, and data scientists to align prototypes with real-world needs.

Thought Leadership & Knowledge Sharing

·       Track market activity, academic research, open-source contributions, and competitor innovation trends.

·       Present insights, demos, and proposals to technical leadership and stakeholders.

·       Foster a culture of AI innovation through workshops, documentation, and internal knowledge sharing.

Minimum qualification:                                                                                                                      

Required Education & Experience:

Technical & Research Expertise

·       Bachelor’s degree (or equivalent experience) in Computer Science, AI, Data Science, or a related technical field.

·       5+ years of hands-on experience in AI engineering, research engineering, ML prototyping, or similar roles.

·       Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow, PyTorch).

·       Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools.

·       Experience building rapid prototypes, POCs, and experimental AI applications.

Applied AI & Tooling Knowledge

·       Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, etc.

·       Familiarity with developer tools like GitHub Copilot, GPT-based coding assistants, and modern MLOps workflows.

·       Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks.

Soft Skills & Collaboration

·       Strong ability to translate cutting-edge research concepts into practical technical solutions.

·       Excellent communication and documentation skills for both technical and non-technical audiences.

·       Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning.

·       Ability to manage multiple research tracks, prototypes, and fast-moving developments.

Preferred qualification:                                                                                                                      

·       Experience with fine-tuning, LoRA, or custo

·       Background in agentic AI systems, automation frameworks, and workflow orchestration.

·       Prior experience publishing research insights or contributing to open-source AI projects.

·       Certifications in advanced AI/ML topics or cloud AI platforms.

Position Type/Expected Hours of Work:

·       Onsite contract: Standard business hours

·       Occasional after-hours or weekend work may be required based on business need

Thank You

Ranjeet Kumar | 1Point System LLC

Senior Technical Recruiter