AI Engineer Internship
Kaizen Analytix•Dallas, TX
•$25 - $25•Onsite
About The Position
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 the guidance of senior engineers on real project tasks, with a focus on skill-building rather than independent ownership.
Requirements
- 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.
Responsibilities
- 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
- 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
- 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
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What This Job Offers
Career Level
Intern
