Support the architecture, design, and deployment of scalable AI/ML systems under the guidance of senior engineers.
Designing, testing and optimizing prompts for LLMs to improve output quality and task accuracy.
Collaborate with cross-functional teams, including software engineers and data scientists, to integrate AI/ML technologies into existing frameworks.
Assist in developing end-to-end AI/ML solutions, including data processing and deployment.
Apply AI to real world problems – data preprocessing, analytics, and insights generation.
Participate in requirements gathering, system design reviews, and technical documentation.
Help develop communications and training packages about AI/ML.
Stay current with industry trends and emerging technologies in AI/ML.

Be a student who is enrolled full time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2027.
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Coursework or project experience in AI/ML, algorithms, or data science.
Familiarity with programming languages such as Python, Java, or C++.
Interest in data engineering and analytics.
Interest in cloud computing platforms (e.g., AWS, Azure, GCP) and container technologies (e.g., Docker, Kubernetes) is a plus.
Knowledge of LLMs, agent systems, and prompt engineering.
Strong analytical and problem-solving skills.
Ability to work collaboratively in a team environment.
Be available to work full-time (40 hours per week) for at least 10 weeks during the summer of 2026.

AI Engineer Intern

Key skills