INTERNSHIP DETAILS

AI Engineer Internship

CompanyKaizen Analytix
LocationDallas
Work ModeOn Site
PostedSeptember 30, 2026
Internship Information
Core Responsibilities
The intern will assist the AI/ML team in building and maintaining components of AI projects, including generative AI applications and data pipelines. They will also conduct research on emerging AI techniques and participate in team design discussions under the guidance of senior engineers.
Internship Type
intern
Company Size
98
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Kaizen is an insights, data, and consulting products and services company that provides clients unmatched speed to achieving business objectives. Working from client and industry data, Kaizen combines its advanced analytics solutions and secure suite of API data from KaizenDataLabs™, with decades of proven subject matter expertise to deliver actionable and accessible insights across the value chain. For more information, visit http://www.kaizenanalytix.com, or email us at engage@kaizenanalytix.com Looking to join the team? Check out the careers page on our website for job listings, or email us at ProveYourMettle@kaizenanalytix.com
About the Role
Employment Type: Onsite Internship
Location: Dallas, TX
Travel Required: TBA
Paid-internship: $25/hr


About Kaizen
Kaizen Global is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact. 

Job Overview
We are looking for an AI Engineer Intern to support our AI/ML team in building and maintaining components of our AI projects and data infrastructure. This is a hands-on learning role for someone with a foundation in machine learning or data engineering who wants practical exposure to generative AI, large language models (LLMs), and the data systems that support them. The intern will work under senior engineers' guidance on real project tasks, focusing on skill-building rather than independent ownership.


Key Responsibilities
Hands-on Development (Supported)
  • Assist in building, testing, and fine-tuning components of generative AI and LLM-based applications (e.g., chatbots, content generation, RAG pipelines) under supervision
  • Support experimentation with prompt engineering, retrieval-augmented generation (RAG), and basic model fine-tuning techniques
  • Write clean, documented Python code for smaller, well-scoped tasks (e.g., data preprocessing scripts, evaluation utilities, pipeline components)
  • Help build and maintain data pipelines used for training and evaluating models, under the direction of a mentor
     
Learning & Exploration
  • Learn core deep learning concepts (CNNs, RNNs, Transformers, attention mechanisms) and apply them to guided project tasks
  • Research and summarize recent papers or techniques in generative AI, LLMs, or AIOps as directed by the team
  • Explore vector embeddings and vector storage approaches, and document findings for the team

Collaboration
  • Participate in team meetings, stand-ups, and design discussions to understand how AI systems are architected end-to-end
  • Work alongside data scientists and engineers to understand requirements and how they translate into implementation
  • Present learnings, progress, and small deliverables to the team on a regular cadence


Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
  • Coursework or personal/academic project experience with Python and at least one ML framework (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)
  • Basic understanding of deep learning fundamentals (neural networks, model training, evaluation metrics)
  • Familiarity with, or strong interest in, generative AI and LLM concepts (fine-tuning, RAG, prompt engineering) — prior hands-on experience is a plus but not required.
  • Understanding of basic software engineering practices (version control with Git, writing readable code, basic testing).
  • Strong analytical and problem-solving skills, with willingness to learn and take direction.
  • Good communication skills and comfort working in a collaborative, remote team environment.

Kaizen Analytix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
 
Key Skills
PythonMachine LearningDeep LearningGenerative AILarge Language ModelsPrompt EngineeringRetrieval-Augmented GenerationData EngineeringPyTorchTensorFlowScikit-learnHugging Face TransformersGitData PreprocessingNeural NetworksAnalytical Skills
Categories
TechnologyData & AnalyticsSoftwareEngineeringConsulting