AI Engineer Internship

Kaizen Analytix, LLC.; Dallas (TX); On-site; USD 29,000 - 40,000; Part time

Job summary

KaizenAnalytixis is seeking an AI Engineer Intern to support our AI/ML team in building components of generative AI projects and data infrastructure. This hands-on role emphasizes learning under senior engineers and exposure to LLMs and data systems.

The internship is onsite in Dallas, TX with a paid rate of $25/hr. Ideal for students or recent grads pursuing CS/AI/Data Science, with Python and ML framework experience.

Qualifications

• Pursuing or recently completed Bachelors/Masters in CS/AI/Data Science.
• Proficiency in Python and at least one ML framework (PyTorch, TensorFlow, Scikit-learn, HF Transformers).
• Basic understanding of deep learning basics and model evaluation.

Responsibilities

• Assist in building and testing generative AI components and LLM-based applications.
• Support prompt engineering, RAG experiments, and basic model fine-tuning tasks.
• Write clean Python code for small data pipeline components and utilities.

Skills

Python programming

Analytical thinking

Communication

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

Job description

Employment Type: Onsite Internship

Location: Dallas, TX

Travel Required: TBA

Paid-internship: $25/hr

About Kaizen

KaizenGlobal 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.

KaizenAnalytixis 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.