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Microsoft Software Engineer 2- AI Full Stack Development 
China, Jiangsu, Suzhou City 
507358439

Yesterday

As a Software Engineer (AI), you will play a key role in designing and delivering innovative AI-driven products that span across web and mobile platforms.

This role is ideal for a passionate full-stack developer with a deep interest in AI/ML technologies and a proven ability to build scalable, user-focused applications. You will collaborate closely with cross-functional teams, exploring cutting-edge technologies to bridge the gap between technical innovation and impactful user experiences. By driving end-to-end development, optimizing AI model integrations, and mentoring peers, you’ll help shape the next generation of intelligent applications that deliver real-world value.

Qualifications
  • 4+ years of full-stack software development experience, with strong hands-on expertise in building web or mobile applications. Experience with lightweight, modular application ecosystems (e.g., Mini Apps) is a plus.
  • Proven ability to design scalable, cloud-based systems using modern development frameworks and CI/CD pipelines.
  • Proficiency in AI/ML technologies, especially Generative AI, with experience integrating, fine-tuning, and optimizing models in production systems.
  • Familiarity with front-end frameworks such as React or Vue and back-end technologies like Node.js, Python, or similar languages.
  • Strong product sense, with the ability to balance user needs, technical feasibility, and innovative solutions.
  • Excellent communication skills in both English and Chinese, enabling effective collaboration across diverse, cross-functional teams.
  • A proactive, innovation-driven mindset, with a passion for continuous learning and staying ahead of emerging technologies.
Responsibilities
  • Design and develop AI-driven applications, delivering scalable, user-focused solutions across web and mobile platforms.
  • Build and maintain robust, cloud-based architectures, ensuring seamless integration of front-end and back-end systems with AI models.
  • Prototype and implement new features, leveraging analytics, user insights, and market trends to improve product quality and user experience.
  • Collaborate with product managers, designers, and data scientists to align technical solutions with product strategies and business goals.
  • Drive technical innovation by exploring new technologies and frameworks, ensuring system performance, maintainability, and scalability.
  • Mentor and support junior engineers, fostering a culture of collaboration, learning, and continuous improvement.