AI Application Development Engineer
Company not disclosed
Job Description
Responsibilities - Automated Requirements & Feedback Processing - Automatically organize product requirements, user feedback, and various product documents into structured knowledge assets. - Document & Solution Generation - Assist in generating PRDs, technical design documents, test cases, release notes, and other standardized deliverables to improve quality and efficiency. - Knowledge Base & Intelligent Q&A - Develop internal knowledge base systems or intelligent Q&A tools to help teams quickly retrieve historical decisions and technical expertise. - AI-Assisted Development - Leverage AI tools for coding, code review, issue diagnosis, and performance optimization. - Automation of Repetitive Work - Identify and automate repetitive tasks across product, development, and testing processes to free up human resources. - Custom Tool Development - Flexibly develop other AI-powered utilities (e.g., data cleaning, log analysis, auto-labeling) based on actual team pain points. Requirements - Coding Ability - Solid hands-on coding experience, with the ability to independently complete a project from requirement analysis to a working deliverable. - Programming Languages - Proficiency in at least one of Python, JavaScript, TypeScript, or Go, with practical project experience. - AI Coding Tools - Familiarity with at least one AI-assisted development tool such as Cursor, Claude Code, Codex, or GitHub Copilot, and the ability to use it effectively to boost productivity. Nice-to-Have - A GitHub project (open source or private) that demonstrates code quality, project structure, or problem-solving skills.
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