Test - AI and Data Engineer

• Create, test, and launch AI and machine learning systems.
• Build and connect applications utilizing generative AI, LLMs, and various AI APIs.
• Develop intelligent automation workflows, chatbots, and AI agents.
• Deploy Retrieval-Augmented Generation (RAG) systems and link AI models with organizational knowledge bases and databases.
• Design and sustain backend services and APIs for AI-driven applications.
• Process both structured and unstructured data to facilitate model training and assessment.
• Assess the reliability, scalability, accuracy, and performance of AI models.
• Apply prompt engineering strategies, optimize models, and utilize evaluation methods.
• Uphold data governance, privacy standards, responsible AI principles, and security protocols.
• Partner with business analysts, developers, product managers, and other key stakeholders.
• Track the performance of live AI solutions and drive continuous improvements.

Benefits