Job description
Translated by FDE Times from the original posting in Chinese.
1. Gain a deep understanding of customers' business scenarios, lead FDEs in quickly building AI application prototypes for validation, give FDEs the technical architecture advice they need, and keep iterating until the Agent system reaches production-grade deployment; 2. Lead FDEs in designing architectures based on AI and the cloud, and implementing them quickly in the customer's environment with AI-assisted development, effectively connecting the customer's application APIs and data systems while meeting the customer's security requirements; 3. Lead FDEs in building high-performance evaluation pipelines and observability frameworks, ensuring the Agent system meets accuracy, security and latency requirements; 4. Identify reusable application patterns and technical problems, and turn them into product feature requests to drive the product forward; 5. Work closely with the customer's engineering team to ensure the AI application launches successfully, and achieves long-term success and high usage.
1. Bachelor's degree or above in computer science, engineering, mathematics or a related field, or equivalent practical experience; 2. 5+ years of customer-facing technical architecture and delivery experience, proficiency in Vibe coding, and the ability to independently complete prototype development, customer communication and production-grade delivery; 2+ years of experience managing technical teams; 3. Experience with AI applications, such as Prompt engineering, Fine-Tuning, RAG and Agent development; 4. Experience in cloud-based architecture and development, such as development with cloud service APIs/SDKs, automated deployment and high-availability architecture.
Bonus points 1. Experience in in-depth customer communication and business consulting, especially communicating with customers' C-Level executives; 2. Experience providing AI solutions for one or more industries, and familiarity with the relevant industry ecosystems; 3. Experience developing complex Agent systems, and proficiency with open-source or commercial Agent development frameworks (such as Lang Graph, CrewAI, and cloud providers' Agent development SDKs).