Full Stack Engineer, AI systems

Overview

Build production-grade AI product features and reliable, goal-driven workflows across frontend, backend, and AI integrations.

What you'll do

• Build end-to-end product features across frontend, backend, and AI integrations.
• Design agent workflows for planning, tool use, failure, and recovery.
• Integrate LLMs, memory, and external tools into reliable systems.
• Design real-time AI interactions with streaming and partial results.
• Improve system reliability, observability, and fallback mechanisms.
• Ship features collaboratively with ML, backend, and product teams.
• Iterate using real usage and workflow failure modes.

What you'll need

• Strong full stack engineering experience across frontend and backend.
• Solid understanding of system design and API architecture.
• Experience with LLMs, RAG systems, or AI-powered applications.
• Ability to make pragmatic engineering decisions amid ambiguity.
• Strong ownership from feature idea through production.
• Comfort working in fast-moving environments with evolving requirements.

Details

• Location: China.
• Interviews conducted virtually and/or onsite.