Assist in building and testing generative AI use cases such as text generation, summarization, or code assistance under guidance from senior team members
Contribute code to AI-related projects using Python or other relevant languages, following established patterns and best practices
Leverage generative AI tools (e.g., LLMs, copilots, prompt-engineering techniques) to support development, experimentation, and learning
Help with basic data cleaning, preprocessing, and validation tasks used in AI model experimentation
Support model testing, fine-tuning experiments, and evaluation efforts, learning how performance and quality are assessed
Assist with integrating AI features into existing applications or workflows under supervision
Work with developers, data scientists, and product partners to understand business problems and how AI can support solutions
Help document experiments, learnings, and code to support team collaboration and future development
Stay curious and engaged with new developments in generative AI, responsible AI practices, and emerging tools

Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, with graduation upcoming
Foundational coding skills, preferably in Python (academic or personal project experience is acceptable)
Exposure to generative AI concepts, LLMs, or AI tools through coursework, projects, hackathons, or self-learning
Familiarity with AI/ML libraries or platforms (e.g., OpenAI APIs, Hugging Face, TensorFlow, PyTorch) is a plus but not required
Ability to learn quickly, adapt to new tools, and apply feedback
Strong problem-solving mindset and curiosity about how AI can be applied to real business challenges
Good communication skills and willingness to collaborate with technical and non-technical teammates
Experience using cloud platforms (AWS, Azure, GCP) is a plus but not required

Gen AI Developer Intern

Key skills