SUMMARY OF RESPONSIBILITIES
Responsible for developing use cases utilizing cutting-edge prompt techniques and leveraging Large Language Models (LLMs) to deliver Generative AI (GenAI) use cases. Implement new GenAI applications. Research, test, evaluate, and implement techniques and approaches in GenAI, such as prompt engineering and other methods. Design and architect GenAI use cases.
Experience and understanding of AI/ML, GenAI, and the development of tools leveraging AI/ML and GenAI. Hands-on experience in ML, predictive analysis, and AI models will be an added advantage. Experience in both front-end and back-end development. Proficiency in languages like Python. Good communication, collaboration, and presentation skills. Ability to explain complex concepts in plain language with graphics, in both business and layman's terms. KEY AREAS OF RESPONSIBILITY
Design, develop, and optimize prompts for GenAI applications. Identify, research methodologies, propose, and implement applications that leverage GenAI capabilities to meet business requirements, such as LLM agents and Retrieval-Augmented Generation (RAG). Design, code, experiment with, and implement models and algorithms for use cases. Collaborate with other teams to identify and implement impactful AI/ML and GenAI use cases.
Contribute to research and innovation in AI/ML and GenAI.
Degree in Information Technology (IT), Computer Science, or another related discipline with relevant experience in managing cyber risk in financial market infrastructures, critical national infrastructure, military, security intelligence, or equivalent. 2-5 years of working experience or more. Practical experience in AI/ML and GenAI.
Excellent interpersonal skills along with effective communication (both written and verbal) skills. Strong analytical and problem-solving skills, possessing a critical and creative thinking mindset. 
