Agentic Workflow Design: Help design multi-step AI workflows involving task planning, tool use, retrieval, permissions, human review, escalation, and failure recovery. Ensure that agentic systems are observable, controllable, and appropriate for high-impact governance decisions.
Work with data science and engineering teams to explore the use of LLM and AI models for improving chatbot interactions, recommendations, and user targeting.
Draft, iterate and optimize targeted prompts for various model training and evaluation scenarios, and conduct in-depth analysis of model outputs to identify deficiencies, biases and failure patterns, so as to optimize prompt design and clarify data iteration requirements.
Currently pursuing a Degree in Information Technology, Computer Science, Business Information Systems, or a related field, preferably in the penultimate or final year of studies.
Establish and maintain strong relationships with external vendors and partners, ensuring timely delivery, quality control, and effective communication.
Shape the business angle of AI product work by assessing user value, operational impact, adoption barriers, stakeholder readiness, productivity gains, and value realisation potential.