The student, as part of the Advanced and Visual Analytics (AVA) team and under the guidance of an assigned mentor, will undertake projects working on Agentic AI and Gen-AI projects.
Your RoleKey responsibilities in your new role
- Agentic AI Development: Design and develop agentic AI applications leveraging Large Language Models (LLMs), multi-agent frameworks, and orchestration platforms.
- AI Agent Engineering: Build, test, and optimize AI agents capable of autonomous reasoning, planning, tool usage, and task execution.
- Systems Integration: Integrate AI agents with enterprise systems, APIs, databases, and business workflows to enable real-world use cases.
- Cross-Functional Prototyping: Collaborate with cross-functional teams to prototype innovative AI solutions and validate business value through proof-of-concepts.
- Technology Evaluation: Evaluate emerging AI technologies, frameworks, and best practices to continuously improve agent performance, reliability, and scalability.
- Documentation & Knowledge Sharing: Contribute to technical documentation, knowledge sharing, and presentations of developed solutions.
Internship Learning Outcomes:
- LLM Application Development: Gain hands-on experience in building applications using LLMs, multi-agent systems, and orchestration platforms.
- AI Agent Optimization: Develop practical skills in testing, tuning, and improving autonomous AI agents for complex tasks.
- Enterprise Integration Exposure: Learn how to connect AI solutions with enterprise systems, APIs, databases, and workflows.
- Proof-of-Concept Development: Strengthen the ability to prototype, validate, and communicate AI solution value in business settings.
- Emerging AI Knowledge: Gain exposure to current AI technologies, frameworks, and best practices in agentic AI development.
Your ProfileQualifications and skills to help you succeed
- Education: Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- Programming Skills: Strong programming foundations, ideally with experience in Python or similar languages.
- AI/ML Knowledge: Familiarity with LLMs, agent frameworks, or machine learning concepts is an advantage.
- Problem-Solving Ability: Strong analytical thinking with the ability to design practical and scalable solutions.
- Collaboration & Communication: Able to work effectively with cross-functional teams and communicate technical ideas clearly.
- Preferred Intake: Jan 27 – May/June 27
Contact: Hillary Woo
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