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Engineering Lead, AI Email App

Backend Full-time Place, Beijing

Job details

Not specified Salary
Place, Beijing Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead the engineering work that turns AI capabilities into a dependable email and communication product. You’ll shape architecture across backend services, APIs, and client applications while managing a small team of senior engineers. The role combines technical leadership with hands-on coding and operational responsibility as the product grows.

Responsibilities - Set engineering direction and deliver product work across backend, mobile, and desktop applications. - Design robust AI workflows, including orchestration, state management, tool use, retries, fallbacks, and failure handling. - Build APIs and software abstractions that connect AI systems to product experiences. - Lead and mentor engineers through hands-on collaboration, design reviews, and code reviews. - Make trade-offs among speed, reliability, latency, cost, security, and user experience. - Establish production practices for testing, monitoring, observability, and operational reliability. - Partner with machine learning leaders to ship useful product experiences based on model capabilities.

Requirements - Significant experience leading application or product engineering for complex systems. - Strong hands-on experience building and operating production backend systems. - Experience integrating modern machine learning or large language model capabilities into products or systems. - Sound technical judgment, including the ability to decide with incomplete information. - Experience across backend and client platforms, with deep expertise in at least one. - High standards for code quality and reliability, and a record of taking work through shipping and learning from real usage.

Benefits and work setup - Work in a small, hands-on team with broad ownership and quick decision-making. - Success includes stable, observable systems under real-world load and steadily improving latency and reliability. - Interviews are generally limited to three or four conversations, virtually and/or onsite.

Skills detected in the listing

LLM
Detected Nov 6, 2026
Last verified Nov 12, 2026

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