Responsibilities

Own end-to-end development of product features spanning frontend and backend

Integrate mainstream AI coding tools (e.g., Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency

Translate product requirements into working implementations with minimal handoff friction between frontend and backend

Act as a full stack "seed" within your team — champion full stack practices, mentor peers, and help scale AI-augmented development across the organization

Proactively identify efficiency bottlenecks in cross-team collaboration and propose improvements to product, design, and engineering processes

Contribute to the full product lifecycle — from ideation and design to deployment and iteration

Requirements

Bachelor's degree or above; Computer Science or AI-related major preferred

1–5 years of professional experience

Solid foundation in at least one backend language: Java or Golang

Proficiency in Node.js and React

Experience owning end-to-end projects in production — not just personal side projects

Familiarity with database design, data modeling, and core backend concepts

Highly proficient with mainstream AI coding tools (Cursor, Copilot, Claude Code, or similar)

Ability to clearly articulate requirements and constraints to AI tools; strong enough fundamentals to review, validate, and correct AI-generated code

Self-driven and boundaryless — you don't wait for tasks to be assigned; you proactively identify what needs to be done

Product and operational mindset — you can turn vague ideas into clear specs

Curious observer — you pay attention to how other teams work and actively suggest improvements

Strong logical thinking and communication skills; passionate about learning new technologies

If you come from a frontend background, we hope you:

1. Strong React engineering depth, with clear judgment on component architecture, reuse boundaries, and state management strategies

2. Familiarity with modern frontend engineering infrastructure, including build tooling, TypeScript type engineering, and automated testing

3. Solid grasp of rendering strategies and performance systems, including critical path optimization, render frame budgeting, and performance monitoring attribution

If you come from a backend background, we hope you:

1. Familiar with high-concurrency programming, with a solid understanding of threading models, locking mechanisms, and asynchronous programming

2. Experience with message queues (Kafka/RabbitMQ), with an understanding of asynchronous decoupling and eventual consistency

3. Understanding of distributed systems fundamentals, including service discovery, circuit breaking, rate limiting, and load balancing

Nice to Have

Open-source contributions or notable GitHub projects

Cross-platform development experience (iOS/Android/Web)