# AI Engineer Internship at Kaizen Analytix

- Company: [Kaizen Analytix](https://www.kaizenanalytix.com/)
- Location: Dallas, TX
- Type: Internship · Internship
- Posted: 2026-10-01
- Apply: https://kaizenanalytix.applytojob.com/apply/HFcfn6ikSA/AI-Engineer-Internship
- Page: https://newgrad.ai/jobs/ai-engineer-internship-1fc4993b

## Summary by newgrad.ai

What you'll do:

- Build and test generative AI and LLM applications like chatbots and RAG pipelines under supervision
- Write Python code for data preprocessing, evaluation utilities, and pipeline components
- Experiment with prompt engineering, retrieval-augmented generation, and model fine-tuning techniques
- Learn deep learning concepts and present findings to the team regularly

What they're looking for:

- Currently pursuing or recently completed Bachelor's or Master's in Computer Science, AI, ML, or related field
- Python experience and familiarity with ML frameworks like PyTorch, TensorFlow, or Hugging Face
- Basic understanding of deep learning fundamentals and neural networks
- Git version control knowledge and strong problem-solving skills

Pay and perks:

- $25/hr paid internship
- Onsite position in Dallas, TX

## Posting

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.

From Kaizen Analytix's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

---

More new-grad and intern roles: https://newgrad.ai/llms.txt