Assist Senior Data Engineers in building, testing, and maintaining data pipelines, analytics solutions, and AI-enabled features.
Support data preparation, validation, and documentation efforts across data engineering, analytics, and AI initiatives.
Contribute to the development and experimentation of AI Agents and foundational LLM-driven workflows (where approved and appropriate).
Work with structured and semi-structured data using Python and SQL to support analytics and AI use cases.
Participate in cloud-based data and AI platforms, gaining hands-on exposure to modern data engineering and AI engineering practices.
Collaborate with Engineers and Analysts to understand business requirements and translate them into technical solutions.
Learn through shadowing, code reviews, and pair-programming, while progressively taking ownership of well-defined tasks.
Document work clearly to support knowledge sharing, reproducibility, and team standards.
Apply a data-driven and AI-first mindset to problem solving, experimentation, and continuous improvement.

Currently pursuing a degree in Computer Science, Data Science, Software Engineering, AI/ML, or a related technical program.
Strong foundational skills in: Python, SQL, Data Engineering concepts, Data Analytics, AI Engineering fundamentals, including exposure to AI Agents or LLM-based systems.
Familiarity with cloud-based data or AI platforms.
Demonstrated interest in applying AI-first thinking to real-world data and business problems.
Strong analytical and problem-solving skills, with a willingness to learn and experiment.
Ability to work effectively in a team-oriented, collaborative environment.
Curiosity, initiative, and a desire to learn from experienced engineers.

Data-AI Engineering Intern

Key skills