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Are you a dedicated problem solver who enjoys exploring solutions beyond the ordinary? Do you excel in situations of uncertainty, finding inspiration in environments that demand creative thinking? Join our GC Channel Sales organization and play a pivotal role in driving our transformation toward an AI-first future. We are looking for an Applied AI Engineer to design and build end-to-end Large Language Model (LLM) and agentic applications. This role focuses on developing intelligent systems that seamlessly integrate LLMs, external tools, and complex data systems to execute multi-step workflows in production environments. You will work across the full stack to translate ambiguous business challenges into reliable, scalable, and innovative solutions.
Description
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.
