Job description
Translated by FDE Times from the original posting in Chinese.
About the team: Feishu Project is a professional project management platform built for complex business scenarios. Through a visual AI workflow engine, it helps enterprises standardize collaboration processes and improve execution efficiency. Feishu Project already serves many leading enterprises, covering complex collaboration scenarios such as software R&D, hardware development and enterprise operations management, and leads the market for digital R&D project management tools.
1. Customer scenario insight: Gain a deep understanding of customers' R&D processes, organizational collaboration methods and real pain points, and turn vague, scattered feedback into clear problem definitions, core R&D scenarios and priorities. 2. End-to-end engineering delivery: Drive CodeM from prototype validation to production-grade deployment. Connect to customers' existing code repositories, CI/CD, APIs and data systems, and complete Agent sandbox deployment while meeting security and compliance requirements, so that CodeM becomes part of customers' daily R&D workflow. 3. Solution design and engineering optimization: Design the overall CodeM and Agent solution based on the customer's tech stack and R&D characteristics, and continuously refine practices around Prompts, context engineering, Skills, Agents and Harnesses to improve how well complex R&D tasks are executed. 4. Solution consolidation and product feedback: Identify reusable application patterns and technical issues, build up standardized scenario solutions and Harness templates, and turn common customer needs into product suggestions, driving the continued evolution of CodeM. 5. Cross-team collaboration and long-term operations: Work closely with customers' engineering, IT and security teams, as well as internal product and R&D teams, to ensure projects go live smoothly, run stably and stay in continuous use, delivering long-term customer value.
1. Bachelor's degree or above; a major in computer science, software engineering, artificial intelligence or a related field is preferred; at least 3 years of software development experience. 2. Solid software engineering skills, with an understanding of the full software development lifecycle, code repositories, CI/CD, API integration and common R&D infrastructure, and the ability to complete prototype development and engineering delivery independently. 3. Hands-on experience with AI Coding, with an understanding of capabilities such as Prompts, context engineering, knowledge bases, Agents, Skills and Harnesses and the limits of where they apply, and the ability to use them to solve real R&D problems. 4. Experience in customer-facing business understanding, requirements analysis, solution design and technical delivery, and the ability to start from the customer's goals to judge the value and feasibility of a scenario. 5. Excellent communication skills, and strong ability in clarifying requirements, driving projects forward and collaborating across teams, with the ability to see issues through to closure in complex, ambiguous and uncertain environments.