高级 AI 平台工程师
Senior AI Platform Engineer
### **✨ 一个平台，开启无限机遇**
最好的工作一直集中在世界上最富有的几个城市。但人才无处不在。Oyster致力于缩小这一差距——打造一个全球就业平台，让公司可以雇佣、支付并关怀世界各地的优秀人才。
我们证明了高性能文化不需要办公室。自2020年以来，我们分布在60多个国家，已经构建出行业不断关注的东西：
- 在TIME和Statista的2026年[美国顶级WorkTech公司](https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026)榜单中位列**第10名**
- 被Newsweek评为[2026年美国最棒的初创公司办公场所](https://www.oysterhr.com/library/oyster-2026-newsweek-award)
- 在雇主代理、全球雇佣、多国薪酬和人力资源合规领域被列为[G2 2026年春季领导者](https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026)
- 唯一一家获得**B Corp认证**的全球雇佣平台 ~ 自2023年起独立验证
其中两项排名从外部衡量了我们的业务影响。一项衡量了我们员工在这里工作的感受。它们指向同一个地方 ~ 因为在Oyster，文化和绩效不是两个不同的话题。它们是同一个话题。
我们才刚刚开始。如果你希望与同样充满热情的人一起完成职业生涯中最出色的工作，欢迎你申请。
### **👩💻 职位描述**
**地点：** 虽然此职位是在特定地点发布的，但Oyster的所有职位都是完全远程的，你可以永远在家工作。为了给新员工创造最佳体验，该职位要求你位于UTC−6至UTC+3时区。
Oyster的数据工程团队正在构建基础的**AI平台层**，这将使Oyster各团队能够开发、部署和运营安全、生产级的AI应用。
作为**AI平台工程师**，你将构建这些应用之下的共享基础设施、服务、集成和开发者工具。你将直接与**LLMs、AI代理、RAG、工具调用和AI工作流**打交道，利用Oyster现有的AWS/Snowflake数据平台，将AI用例从实验转化为可靠、可生产的系统。
你将与工程、产品和IT紧密合作，建立**平台基础组件和技术模式**，确保整个组织的高效运作。
查看英文原文
### **✨ One platform, a whole world of opportunity**
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked **#10 of 250** on TIME and Statista's 2026 list of [America's Top WorkTech Companies](https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time)
- Named one of [America's Greatest Startup Workplaces 2026](https://www.oysterhr.com/library/oyster-2026-newsweek-award) by Newsweek
- A [G2 Spring 2026 Leader](https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026) across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only **B Corp-certified** global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
### **👩💻 The Role**
**Location:** While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Oyster’s Data Engineering team is building the foundational **AI platform layer** that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI applications.
As an **AI Platform Engineer**, you’ll build the shared infrastructure, services, integrations, and developer tooling that sit beneath these applications. You’ll work hands-on with **LLMs, AI agents, RAG, tool calling, and AI workflows**, leveraging Oyster’s existing AWS/Snowflake data platform to turn AI use cases from experimentation into reliable, production-ready systems.
You’ll partner closely with Engineering, Product, and IT to establish the **platform primitives, technical patterns, and guardrails** that allow Oyster to build and scale AI securely and effectively.
### **Key Responsibilities**
- Design and build reusable platform capabilities for **LLM applications, AI agents, RAG, tool calling, and AI workflows**.
- Build **data and knowledge pipelines** supporting ingestion, embeddings, retrieval, vector search, metadata, and knowledge management.
- Develop secure integrations between AI applications and enterprise data and systems using **APIs, MCP, tool calling, and similar patterns**.
- Build reusable **frameworks, libraries, services, and developer tooling** so engineering teams can build AI applications without repeatedly solving the same foundational problems.
- Establish patterns and standards for **AI deployment, observability, evaluation, and lifecycle management**, including quality, accuracy, latency, security, reliability, and cost.
- Help take AI capabilities from **prototype to production**, building for reliability, scalability, and maintainability.
- Ensure that the AI platform's capabilities meet Oyster’s **security, privacy, access control, and data governance** requirements.
- Evaluate emerging AI models, frameworks, and infrastructure technologies and determine where they can create meaningful value for Oyster.
### **Core Requirements**
- **5+ years** in data engineering, platform engineering, backend engineering, or a related discipline, with experience building and operating production systems.
- Strong **Python and SQL**.
- Hands-on experience building and deploying **production applications or services using LLMs / generative AI**.
- Experience with **RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems**.
- Strong data engineering fundamentals, including **pipelines, data modeling, data quality, and secure data access**.
- Experience with **Snowflake, Databricks, or comparable modern data platforms**, plus tools such as dbt, Airflow, or similar.
- Experience building **shared AI infrastructure, platforms, or reusable AI capabilities**, rather than only integrating AI into individual applications.
- Experience taking AI systems from **experimentation to reliable production**.
- Solid understanding of **security, authentication/authorization, privacy, and data governance**.
- Strong communicator who can translate ambiguous AI opportunities into practical engineering solutions across teams.
### **Bonus Points**
- Experience with **AWS Bedrock** or other managed foundation-model platforms.
- Hands-on experience with **MCP (Model Context Protocol)** or similar approaches for connecting AI to enterprise tools and data.
- **LLM evaluation, observability, monitoring, or AI quality** experience.
- Experience with **LangChain, LangGraph**, or similar frameworks.
- **Vector database or search** technology experience.
- Experience implementing **AI security, governance, or responsible AI** practices.
- Experience building internal **developer platforms, SDKs, APIs, or reusable infrastructure** for engineering teams.
#### **You'll also need**
- A reliable home internet connection (or be able to get one).
- Fluent English language skills.
### **How we work together at Oyster**
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the [Oyster Public HQ](https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d) so other global teams can learn from us.
### **How YOU work**
With diverse locations, cultures, and needs, we created [How YOU Work;](https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395) a program supporting your whole human experience at Oyster:
- **Work from anywhere:** Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- **Paid time off:** Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- **Mental health support:** Access [Plumm](https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7), our mental well-being service.
- **Wellbeing allowance:** Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- **Flexible parental leave:** All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- **WFH stipend:** Receive a stipend for your laptop and home office equipment to get you set up quickly.
### **✨ The best jobs should be available to everyone**
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email [jobs@oysterhr.com](mailto:jobs@oysterhr.com) with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @ _oysterhr.com_ email, and **we will never ask for money as part of an interview process or job offer.** If you receive a suspicious email about Oyster jobs or are directed to a site other than [www.oysterhr.com/careers](http://www.oysterhr.com/careers), please report it via our [Compliance and Ethics Helpline](https://faceup.com/c/8tpzyyye).