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AI Development Engineer

Digifinex Global — Hong Kong Sar · Posted ~2 hours ago

Skills

Software development AI-assisted development Coding Automation Knowledge base development Intelligent Q&A systems AI tools AI LLMs Knowledge bases Intelligent Q&A

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Summary ✨ AI‑Generated

Work as an AI Development Engineer focused on applying AI to software and business workflows. You’ll transform requirements and feedback into structured knowledge, automate technical documentation and testing artifacts, develop internal knowledge and intelligent Q&A systems, use AI for coding and code review, and build custom utilities for tasks such as data cleaning and log analysis. Strong hands-on coding ability is required.

Highlights

Highly hands-on AI engineering role focused on turning repetitive workflows into intelligent automation. You’ll build knowledge systems, automate documentation and development processes, use AI for coding and diagnostics, and create custom AI utilities addressing real operational needs.

Description

Responsibilities Automated Requirements & Feedback ProcessingAutomatically organize product requirements, user feedback, and various product documents into structured knowledge assets.Document & Solution GenerationAssist in generating PRDs, technical design documents, test cases, release notes, and other standardized deliverables to improve quality and efficiency.Knowledge Base & Intelligent Q&ADevelop internal knowledge base systems or intelligent Q&A tools to help teams quickly retrieve historical decisions and technical expertise.AI-Assisted DevelopmentLeverage AI tools for coding, code review, issue diagnosis, and performance optimization.Automation of Repetitive WorkIdentify and automate repetitive tasks across product, development, and testing processes to free up human resources.Custom Tool DevelopmentFlexibly develop other AI-powered utilities (e.g., data cleaning, log analysis, auto-labeling) based on actual team pain points. Requirements Coding AbilitySolid hands-on coding experience, with the ability to independently complete a project from requirement analysis to a working deliverable.Programming LanguagesProficiency in at least one of Python, JavaScript, TypeScript, or Go, with practical project experience.AI Coding ToolsFamiliarity 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.