AI Engineer

Role Overview

Key Responsibilities

• Design and implement AI‑driven solutions based on real business needs, transforming AI capabilities into production‑ready code and business logic.
• Demonstrate strong AI coding skills, using AI technologies (including but not limited to large language models, intelligent agents, automation tools, etc.) to improve development efficiency and system capabilities.
• Select and combine multiple tools, techniques, and approaches (e.g. LLM APIs, traditional algorithms, rule‑based logic, automation scripts) rather than relying on a single solution.
• Participate in backend and service‑side development, designing and implementing core system logic as required.
• Work closely with frontend developers when necessary to ensure end‑to‑end feature delivery.
• Embed AI capabilities into existing business workflows to improve efficiency, reduce manual effort, and enhance intelligence across systems.
• Collaborate closely with product, business, and engineering teams to deeply understand business logic and convert it into reliable, scalable technical solutions.
• Continuously explore, evaluate, and apply new AI tools and technologies in appropriate business scenarios.

Requirements

• Strong proficiency in Python, with solid programming fundamentals and clean coding practices.
• Proven AI programming experience, including applying AI models or AI‑assisted development tools to solve real‑world problems.
• Hands‑on experience with backend development and a solid understanding of system architecture and data flow.
• Business‑oriented mindset, with the ability to understand requirements beyond pure technical implementation.
• Strong learning ability and problem‑solving skills, capable of quickly adopting new tools and methodologies.
• Good communication skills and a collaborative team attitude, with strong execution and ownership.