AI Team Org Map — Kaon (April 2026)
Maintained as living doc. Last updated: 2026-04-06
All teams report to Alex Xi (CTO) Total AI headcount: ~28 active
1. 后训练 / Post-Training
Lead: 韩子扬 ICs: 陈昱, 李家宜, 王钦语, 陈佳新, 刘俊文, 郝少春, 1 intern Headcount: 7 ICs + lead Focus: SFT, GRPO, reward modeling, training data pipeline
2. 个性化 / Personalization
Lead: 韩子扬 + 杨千驰 (co-lead) ICs: 刘左茜, 付泓鑫, 新人 Headcount: 3 ICs + co-leads (韩子扬 dual-hatting with Post-Training) Focus: User embedding, personalization, population intelligence
3. AI工程 - Agentic
Lead: Chen Xi ICs: 李大山, Xinyi Chen, 叶沛津, Leon, 田勇, 谢靖 Shared: 付泓鑫, 刘左茜 (shared with Personalization) Headcount: 6 ICs + lead (+ 2 shared) Focus: Agentic runtime, agent systems, Memory engineering, 个性化 engineering, tool call pipeline Note: Owns the full agent stack end-to-end — runtime, memory, personalization, all capability skills
4. AI工程 + 平台 / AI Platform
Lead: 李斌 ICs: 范晓豪, 李铭宇 Headcount: 2 ICs + lead Focus: Internal platforms — n8n, Shiki, Evals, Wagashi, Tianji
5. AI Infra
Lead: 田浩廷 ICs: 王谦 (inference optimization) Away: 张越 (intern, inference optimization — temporarily away) Headcount: 1 IC + lead (+ 1 away intern) Focus: Conv AB, ELO, LSP, GPU management, data infra, inference optimization, agent infra
6. 多模态 / Multimodal
Lead: Boyn Chan + Felix (co-lead) ICs: 伍袁锋 (Curry), 刘欣然 Headcount: 2 ICs + co-leads Focus: Image generation, multimodal capabilities
7. AI Product
Person: 牟文钊 Working with: Water Focus: AI product direction
8. RM / Eval ⚠️ GAP
Lead: None — needs hire Team: No dedicated team yet (partially handled within Post-Training) Target Focus: Reward model training, eval benchmarks, A/B test design, bad case triage, quality signal definition
Key Gaps & Hiring Needs
| Priority | Role | Team | Location | Est. Cost | Notes |
|---|---|---|---|---|---|
| 🔴 P0 | RM/Eval Lead | New team (#8) | US or China | T2 ($250-350K TC) if US | Defines “what is good” — critical for all model work |
| 🟡 P1 | AI Infra engineer | AI Infra (#5) | China | ~$8K/mo | Backfill for 何川 departure; 田浩廷 nearly solo |
| 🟡 P1 | Personalization researcher | 个性化 (#2) | China | ~$8K/mo | Team is thin (3 ICs) for ambitious scope |
| 🟢 P2 | AI engineers (1-2) | Agentic (#3) | China or US | Varies | As KAI ramps, Chen Xi’s team carries heavy load |
| 🟢 P2 | AI运营 / Data Ops | Cross-team | China | ~$5-6K/mo | Training data quality, annotation, prompt writing — currently scattered |
Budget Context
- Extra hiring budget: 300K/mo (on top of existing payroll)
- China cost: ~$8K/mo per person
- US cost: ~$25K/mo per person
- 1 US hire ≈ 3 China hires