Manager, Forward Deployed Engineering - BytePlus

About Us Embedded in client environments, this role leads Forward Deployed Engineers (FDEs) to rapidly develop and debug AI applications to accomplish production-grade deployment, while driving product feature iteration. Responsibilities - Develop a deep understanding of client business scenarios, lead FDEs to rapidly build and validate AI application prototypes, provide the technical architecture guidance they need, and iteratively advance agent systems to production-grade deployment. - Lead FDEs in designing AI and cloud-based architectures and, through AI-assisted development, rapidly implement them in client environments, effectively integrating client application APIs and data systems in compliance with client security requirements. - Lead FDEs in building high-performance evaluation pipelines and observability frameworks to ensure agent systems meet requirements for accuracy, safety, and latency. - Identify reusable application patterns and technical issues, translate them into product feature requests, and drive product development. - Work closely with client engineering teams to ensure the successful launch, long-term success, and strong adoption of AI applications.

Minimum Qualifications - Bachelor's degree in computer science, engineering, mathematics, or a related field, or equivalent hands-on experience. - 5+ years of client-facing technical architecture and delivery experience, strong command of vibe coding, and the ability to independently handle prototype development, client communication, and production-grade delivery. - 2+ years of technical team management experience. - Experience with AI applications, such as prompt engineering, fine-tuning, RAG, and agent development, and in cloud-based architecture and development, such as development using cloud service APIs/SDKs, automated deployment, and high-availability architecture. Preferred Qualifications - Master's or PhD degree in a related field. - Deep client communication and business consulting experience, especially experience communicating with client C-level stakeholders. - Experience delivering AI solutions for one or more industries, with familiarity with the corresponding industry ecosystems. - Experience developing complex agent systems, with proficiency in open-source or commercial agent development frameworks, such as LangGraph, CrewAI, and agent development SDKs from cloud service providers.