About the role
AI summarisedThe AI Engineer Intern will support the exploration, prototyping, and implementation of Generative AI solutions, working with engineering and product teams to apply LLMs and GenAI technologies to real business use cases. Responsibilities include developing and evaluating AI applications, prompt engineering, data preparation, and documenting experiments. The role is designed for students pursuing degrees in Computer Science, Data Science, or Engineering who seek hands-on experience in AI development within a professional setting.
IDMOnsiteIT
Key Responsibilities
- Assist in developing and evaluating Generative AI solutions (e.g. LLM based applications, AI assistants)
- Support prompt engineering, experimentation, and model evaluation
- Help prototype AI workflows and integrations into applications or tools
- Document experiments, findings, and technical designs
Requirements
- Currently pursuing a Bachelors degree in Computer Science, Data Science, Engineering, or a related field
- Good understanding of Generative AI and machine learning concepts
- Hands-on experience in Python programming and deployment on Kubernetes / Openshift Platform
- Familiarity with LLMs and GenAI frameworks or tools
- Strong analytical thinking and curiosity for emerging AI technologies
- Highly motivated, structured and methodical with high degree of self-initiative