Fullstack Engineer (AI Systems)

TL;DR

Fullstack Engineer (AI Systems): Building the product layer for a proactive smart assistant with an accent on inference pipelines, orchestration, and production-grade reliability. Focus on designing agent operations, optimizing latency for high-throughput AI services, and ensuring system stability under load.

Location: Must be based in Beijing, China (Remote work format supported).

Company

A high-talent density, hands-on team building AI-native applications to bring intelligence to everyday workflows.

What you will do

• Build and operate backend systems serving AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around LLMs.
• Own production monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.
• Collaborate on building production-grade workflows that handle multi-step reasoning.

Requirements

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns including LLMs, embeddings, and multimodal models.
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behavior.

Culture & Benefits

• Work in a small, world-class team with high talent density.
• Rapid decision-making and execution speed.
• Focus on building magical, high-quality products for billions of users.
• Collaborative environment with collective decision-making.

Hiring process

• Applications evaluated by technical team members.
• 3 to 4 interviews conducted via virtual meetings or onsite.
• Prompt decision-making process.