Join OurAI Education Revolution
We're building AI agents that transform English textbooks into readable, listenable, and chatable learning experiences. Join our team of innovators in Guangzhou or work remotely.
LingoLift / LingoForest — The Closed Loop
Five codebases, eight workflows, three learning models. See what's built, what's next, and the hiring priorities.
Member of Technical Staff
Full-stack across Go, React, and the LLM agent layer — for engineers who chose breadth on purpose.
About LingoLift / LingoForest
An AI-powered education platform that creates a complete learning ecosystem.
LingoLift (Story Factory)
Transform English textbooks into engaging learning content through AI agents. Automatically generate graded outlines, chapter stories, illustrations, voiceovers, and more.
- •8 stable production workflows
- •Multi-modal content generation
- •Quality validation and review
LingoForest (School OS)
A comprehensive learning management system with student analytics, adaptive recommendations, and AI-powered learning companions.
- •Learning analytics with 3 models
- •CAT admission and leveling
- •AI companion chat integration
Our Technology Stack
Open Positions
Join our team to build the future of AI-powered education.
AI Agent Engineer (Senior)
Lead our AI agent development with Eino framework and multi-modal pipelines
Requirements
- •3+ years AI engineering experience
- •Experience with Chinese LLMs (Qwen/DeepSeek/GLM)
- •Agent framework experience (Eino/LangChain)
- •Multi-modal production pipeline experience
- •LLM evaluation and monitoring experience
Tech Stack
Backend Engineer (Go, SFE)
Build story generation APIs and workflow engine for content production
Requirements
- •3+ years Go backend experience
- •MySQL/MongoDB + Redis experience
- •Async task and message queue experience
- •ORM experience (XORM/GORM)
- •Object storage experience (OSS/S3)
Tech Stack
Backend Engineer (Go, SGS)
Develop school OS with RBAC, learning analytics, and student interaction systems
Requirements
- •3+ years Go backend experience
- •RBAC/multi-tenant backend experience
- •MySQL + Redis optimization experience
- •SaaS/B2B backend experience
- •Async task and scheduling experience
Tech Stack
Frontend Engineer (Teacher/Editor Portal)
Build comprehensive teacher and editor management portals with TanStack Start
Requirements
- •3+ years React experience
- •SaaS backend or content creation tool experience
- •TanStack Start/Next.js/Remix experience
- •Strong state management (Recoil/Zustand)
- •Good design sense and interaction skills
Tech Stack
Frontend Engineer (Student Portal)
Create engaging student reading experience with library, reader, and AI companion chat
Requirements
- •3+ years React experience
- •ToC reading/content/tool app experience
- •TanStack Start/Next.js experience
- •Mobile/responsive design experience
- •Strong state management
Tech Stack
DevOps / SRE Engineer
Build infrastructure for MySQL/Mongo/Redis clusters and AI inference services
Requirements
- •2+ years SRE/DevOps experience
- •K8s + Docker + Linux optimization
- •AI inference service deployment
- •Monitoring, alerting, and disaster recovery SOP
- •Security and compliance knowledge
Tech Stack
QA + Content Review
Review workflow outputs for quality, consistency, and content compliance
Requirements
- •Bachelor degree or above
- •English CET-6 or TEM-8 (required)
- •Detail-oriented with good aesthetic sense
- •Basic scripting skills (Python/Shell)
Tech Stack
Benefits & Culture
We believe in creating an environment where innovation thrives.
Remote Friendly
Monthly 1-2 offline meetings in Guangzhou, primarily remote work
Equity Options
All positions include equity (0.1%-0.5% based on role and timing)
13-Month Salary
Competitive base salary with year-end bonus based on performance
AI-First Workflow
Encouraged to use AI tools (Cursor, Claude, our own products)
Flexible Schedule
No time tracking, no weekly reports, async collaboration via Linear + Feishu
Learning Budget
5,000 RMB annual budget for technical/product learning
Flexible Holidays
10 days annual leave upon joining, plus additional Spring Festival leave
Product Pride
Build AI content factories that create educational masterpieces
Growth Opportunity
Early team members have significant growth and impact potential
Hiring Process
Our streamlined hiring process designed to find the best talent.
Initial Screening
HR or founder reviews resume + GitHub/portfolio, 30-minute conversation
Technical Interviews
2 rounds, 60 minutes each - first round on tech stack, second on project deep-dive
CTO + Founder Interview
30-minute conversation about product vision and cultural fit
Offer
Offer extended within 48 hours
Ready to Join Our Team?
Be part of building the future of AI-powered education. Apply today and make an impact.