Applied AI Engineer

As an Applied AI Engineer within the GC Channel Sales team, you will be the technical driving force behind our AI-first initiatives. You will design, develop, and deploy intelligent agents and LLM-powered systems that directly optimize sales operations, channel performance, and business insights. Your day-to-day responsibilities will include: - End-to-End System Design: Architecting and building agentic applications that seamlessly connect LLMs with internal tools, databases, and APIs to execute complex, multi-step business workflows. - Production Engineering: Taking AI solutions from prototype to robust production deployments, ensuring they are scalable, highly reliable, and optimized for latency. - Continuous Innovation: Staying at the forefront of the rapidly evolving AI landscape. You will experiment with new models, fine-tuning techniques, and orchestration frameworks to push the boundaries of what is possible. - Cross-functional Collaboration: Partnering closely with technical and nontechnical functions to translate ambiguous business requirements into powerful technical capabilities. - Quality & Best Practices: Establishing engineering rigor around AI system observability, prompt versioning, testing, and continuous deployment. Minimum Qualifications Deep expertise in building end-to-end LLM applications, including Agentic workflows, RAG (Retrieval-Augmented Generation) systems, and advanced prompt engineering. Strong programming proficiency and hands-on experience with GenAI frameworks Solid foundation in integrating LLMs with external tools (APIs, databases) to create autonomous, multi-step systems. Full-stack awareness with experience in productionizing ML/AI models, API development and CI/CD pipelines. Fluency in both English and Mandarin (spoken and written). Preferred Qualifications Strong ability to thrive in ambiguous environments, breaking down complex business problems into elegant, scalable technical designs. Excellent cross-functional collaboration and communication skills. BS, MS, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.