AI Platform Lead
人工智能平台领导 这项工作是半产品，半工程：你决定 AI 平台应该做什么，然后设计和拥有使其可靠地运作的共享平台。你将成为第一个致力于这个平台的工程师。没有任何共享到目前为止。你还在设计它。手动架构和建筑。这不是管理角色。通过"虚拟代理"的建议，我们可以保持一致性，并不会两次解决相同的问题。直接训练团队，因此与人工智能合作变得很正常而不是特别。成功是由不同的工作组来衡量的，而不是安装的工具。我们正在寻找 Essential Senior 软件工程经验，通常7年以上，包括担任领导或建筑师的时间。你已经建立了人工智能代理或人工智能平台系统，在实际负载下运行生产，你可以公开谈论什么破解和你改变的东西。其他工程师基于你的构建。我们正在聘请一个平台所有者，而不是一个令人印象深刻的代理人的作者。真正的产品本能。你从用户开始，而不是建筑。你可以制问题并写出一个简短的简单，非工程师理解和采取行动。对别人的工作有好奇心。你很舒服地坐在招募人员，设计师或营销员那里，观察他们如何工作，找到值得解决的问题。你不需要在这些功能上先前的经验。你需要本能去学习它们。现代人工智能系统中的实践：LLM,代理，工具使用，配套，检索，记忆和评估。对生产的可靠性，成本，速度和规模进行真正判断，而不仅仅是原型。你想保持密切于代码。这是一个实践角色。专业英语，书面和口头。客户第一决策基于数据和对用户问题的真实的同情感，包括同事。在舞台上做你所说的话，表达，给予和接收直接反，并提供结果
查看英文原文
AI Platform Lead
This job is half product, half engineering: you decide what the AI Platform should do, then design and own the shared platform that makes it work reliably.
You will be the first engineer dedicated to this platform. Nothing shared exists yet — you design it.
Hands-on architecture and building. This is not a management role.
What you will own
1. What each Virtual Agent should do
2. The platform architecture
3. Reliability
4. Making it easy to build on
Design reusable AI workflows for real business problems across product, content, growth, people and finance.
Make it straightforward for another engineer to add a new workflow, a new tool, a new Virtual
Agent or a different AI provider — without rebuilding the foundation.
Write the standards down, and be honest in writing about trade-offs.
5. Adoption
Review new Virtual Agent proposals so the fleet stays consistent and we do not solve the same problem twice.
Coach the team directly, so working with AI becomes normal here rather than exceptional.
Success is measured by teams working differently, not by tools installed.
Who we are looking for
Essential
Senior software engineering experience, typically 7+ years, including time as a lead or architect.
You have built AI agent or AI platform systems that ran in production under real load, and you can talk openly about what broke and what you changed.
Other engineers built on what you built. We are hiring a platform owner, not the author of one impressive agent.
Genuine product instinct. You start with the user and the job to be done, not with the architecture. You can frame a problem and write a short brief that a non-engineer understands and acts on.
Curiosity about other people's work. You are comfortable sitting with a recruiter, a designer or a marketer, watching how they actually work, and finding the problem worth solving. You do not need prior experience in those functions — you need the instinct to go and learn them.
Hands-on depth in modern AI systems: LLMs, agents, tool use, orchestration, retrieval, memory and evaluation.
Real judgement about reliability, cost, speed and scale in production, not only in prototypes.
You want to stay close to the code. This is a hands-on role.
Professional English, written and spoken.
Customer First — decisions grounded in data and real empathy for the user's problem, colleagues included.
Be on Stage — do what you say, speak up, give and take direct feedback, and deliver results rather than finish tasks.
Originally posted on Himalayas