AI Systems Engineering Subject Matter Expert
简介 TripleTen 是一个设计和运行技术职业学习计划的 EdTech 公司，为美国和拉丁美洲市场。我们已经做了五年多，通过基于我们的平台和课程开发的团队基础上的项目来教学完整的初学者没有先前技术背景的人。我们的团队是完全远程分布式的，全球分布式，我们服务于两个地区的大型，活跃的学生群体。我们正在建立一个程序，用于经验丰富的工程师转变到系统架构角色。我们需要人工智能系统工程专业人员，他们不仅可以了解他们的工艺 他们需要帮助构建课程并将自己的专长转化为其他人可以学习的内容。这是一个内容编写角色。你首先要根据我们的现有草案来塑造程序课程，然后开始使用人工智能代码工具制作教训 按照我们的内容指南，审查输出，并调整它直到它准确和可教化的.LX 设计师会对你的内容进行评论；从那里就会回复。最好的候选人是那些有看法了解良好的系统工程，以及工程师需要学习的东西的人，能够发现什么事情过于简单或错误时，并且在结构化生产过程中工作并跟上最后期限。你的观众：经验丰富的工程师希望达到系统架构角色。他们会立即发现浅层内容。格式：无同步的第一，基于项目，估计为4-6个月。我们预计你将准备好每周15-20小时左右。我们将把专业知识带来三个中小型企业，每个领域都集中在以下一个领域之一。中小型企业 A 系统基础，API & 数据 ·模块1 系统工程基础 （架构原则，开放电信，分布式系统）·模块2 API 和服务架构 （REST,GraphQL,gRPC,服务界限，DDD）·模组3 数据架构与存储模式 （SQL/NoSQL,分类，复制，Redis 缓存）中小企业 B 云，分布式体系 ·模块4 云基础设施和平台工程 (Kubernetes,Terraform,GitOps,CI/CD,FinOps) ·模板5 分布式系统和事件驱动的架构 （CAP,活动驱动，卡奥尔摩，警报路由）中小公司 C fka 安全，AI 系统和领导体系) ·第6模块 安全与合规架构 （零信任，威胁建模，合规性，安全的 CI/CD）·第7模块？? AI
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Description
🤓 TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're building a program for experienced engineers transitioning into system architecture roles. We need AI Systems Engineering practitioners who can do more than just know their craft — they need to help build the curriculum and turn their expertise into content others can learn from.
This is a content authoring role. You'll start by shaping the program syllabus based on our existing draft, then move into producing lessons using AI-gen tools — following our content guidelines, reviewing the output, and fine-tuning it until it's accurate and teachable. An LX designer will review your content and send comments back; you'll iterate from there. The best candidates are people who are opinionated about what good systems engineering looks like and what engineers need to learn, can spot when something is oversimplified or wrong, and are comfortable working in a structured production process and keeping up with deadlines.
Your audience: experienced engineers looking to level up to system architecture roles. They will spot shallow content instantly.
Format: async-first, project-based, estimated 4-6 months. We expect you to be ready to around 15-20 hrs/week.
Areas of expertise
We will bring on three SMEs, each focused on one of the following areas.
SME A — System Foundations, API & Data
- Module 1 — Foundations of System Engineering (Architecture principles, OpenTelemetry, distributed systems)
- Module 2 — API & Service Architecture (REST, GraphQL, gRPC, service boundaries, DDD)
- Module 3 — Data Architecture & Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching)
SME B — Cloud, Distributed Systems
- Module 4 — Cloud Infrastructure & Platform Engineering (Kubernetes, Terraform, GitOps, CI/CD, FinOps)
- Module 5 — Distributed Systems & Event-Driven Architecture (CAP theorem, event-driven, Kafka, alert routing)
SME C — Security, AI Systems & Architecture Leadership
- Module 6 — Security & Compliance Architecture (Zero-trust, threat modeling, compliance, secure CI/CD)
- Module 7 — AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance)
- Module 8 — Architecture Documentation & Leadership (ADRs, C4 diagrams, technical communication)
Please indicate in your application which area fits you best. If you have overlapping skills, don’t hesitate to apply and indicate it in your application. Submit all resumes or CV's in English.
What you will do
- Review and shape the existing syllabus draft — validate topic sequencing, flag gaps or unrealistic scope, and make sure the content reflects how these systems are actually built in production.
- Define clear learning objectives per topic: what should a student be able to do after this lesson, not just know.
- Produce lessons using AI-gen tools following our content guidelines — then review, fact-check, and fine-tune the output until it's technically sound.
- Design hands-on projects and exercises that are realistic for a working engineer studying 20 hrs/week.
- Write supporting content: project instructions, rubrics, and reviewer guides.
- Respond to LX designer feedback and iterate on content — this is a back-and-forth process, not a one-time handoff.
Requirements
- 5+ years of real-world experience as a Senior Systems Engineer
- Has designed and shipped systems at scale in a real company — not just coursework or side projects
- Can explain why a decision was made, not just how it was implemented
- Strong technical communication skills — ability to explain complex topics clearly to learners
- Comfortable using AI tools for content drafting and iteration
- Strong English C1+ — content will be in English for a US-based audience
- Attention to detail, proactivity and ability to meet deadlines independently
What we can offer you
- Milestone-based payments tied to deliverables
- Fully remote work with flexible hours
- A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth
- Professional trust and autonomy — no micromanaging
- The chance to see real impact: our metric is graduates landing jobs in tech
- Join a diverse, international, and close-knit team excited to work with you
Originally posted on Himalayas