高级平台工程师 - 人工智能
Senior Platform Engineer - AI
在gFiber，我们相信优质的互联网有力量推动创新、加强社区、实现不可能的事情，并完成所有让我们的世界运转的日常事务。创造更好的互联网的工作永无止境——所以我们正在不断壮大！我们的团队致力于打造一个让希望有所作为的人能够成长职业并找到归属感的地方。
申请窗口将至少开放至2026年6月1日。此机会将根据业务需求在线保持，可能早于或晚于上述日期。
此职位不提供移民担保。
职位描述
gFiber目前正处于转型的关键时刻。随着我们在AI驱动的产品功能上加大投资，平台工程团队是这一变革的核心引擎。我们正在现代化基础系统，以支持新一代AI项目，重点包括：
- 代理平台：构建自主AI代理的框架。
- AI可观测性与安全：为LLM实施防护措施和监控。
- 以AI为中心的DevOps：开发针对AI代理和机器学习工作流的专用CI/CD流水线和自动化测试框架。
我们正在寻找一位高级AI平台工程师，带领团队设计和部署我们的下一代代理系统和LLM驱动的平台。在这个高影响力职位中，你将连接前沿AI架构与可扩展的云基础设施。你将构建整个生态系统——利用先进的提示工程、LLM堆栈和DevOps实践来构建AI平台并优化gFiber的企业流程。你将推动工程卓越，引领自动化策略和复杂的基础设施标准，贯穿我们整个产品组合。
在此职位中，你将：
- 设计并构建内部AI开发者平台（IDP），将复杂的GCP AI服务（Vertex AI、Agent Engine、Model Garden）抽象为自服务的“铺好路径”API、SDK或Terraform模块，使产品工程团队可以轻松使用，而无需深入的AI基础设施专业知识
- 设计并构建企业模型网关。必须有构建统一路由层的经验，管理限速、负载均衡、故障转移和统一遥测，使平台团队可以无缝更换底层模型而不破坏下游产品应用
- 构建并优化AI平台的基础设施，确保高可用性、可扩展性和安全性
查看英文原文
At gFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.
The application window will be open until at least June 1, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role is not eligible for immigration sponsorship.
Role Description
gFiber is currently at a transformative crossroads. As we ramp up investments in AI-driven product features, the Platform Engineering team is the engine room for this evolution. We are modernizing our foundational systems to support a new generation of AI initiatives, focusing on:
- Agentic Platforms: Building the frameworks for autonomous AI agents.
- AI Observability & Security: Implementing guardrails and monitoring specifically for LLMs.
- AI-Centric DevOps: Developing specialized CI/CD pipelines and automated testing frameworks tailored for AI Agents and machine learning workflows.
We are seeking a Senior AI Platform Engineer to lead the charge in designing and deploying our next-generation agentic systems and LLM-powered platforms. In this high-impact role, you will bridge the gap between cutting-edge AI Architecture and scalable Cloud Infrastructure. You’ll be architecting the entire ecosystem—utilizing advanced prompt engineering, LLM stack and DevOps practices to build AI Platform and optimize gFiber’s enterprise workflows. You will be a champion for engineering excellence, driving automation strategies and sophisticated infrastructure standards across our entire product suite.
In this role, you'll:
- Architect and build the Internal AI Developer Platform (IDP), abstracting complex GCP AI services (Vertex AI, Agent Engine, Model Garden) into self-service, "paved-path" APIs, SDKs, or Terraform modules that product engineering teams can easily consume without needing deep AI infrastructure expertise
- Design and Build enterprise Model Gateways. Must have experience building unified routing layers that manage rate-limiting, load balancing, failovers, and unified telemetry, allowing the platform team to swap underlying models seamlessly without breaking downstream product applications.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal client policies and technical documentation.
- MLOps & Deployment: Oversee the deployment of microservices using GKE (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.
At a minimum we'd like you to have:
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience
- 8 years of experience in setting up SDLC, CI/CD pipelines, automation, troubleshooting, launching and supporting enterprise applications as an individual contributor and in a Lead capacity.
- 5 years of experience as senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure. Demonstrated expertise in building multi-agent systems, workflow automation, and implementing emerging integration frameworks (such as A2A and MCP).
- 5 years of hands-on experience with public cloud and Infrastructure as Code (IAC).
- Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc) and experience with cloud infrastructure management and automation technologies (Terraform, Ansible etc)
It's preferred if you have:
- Experience optimizing applications, both stand-alone and in distributed systems to maximize performance
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with multi-cloud environments and other cloud providers (AWS, Azure, etc.)
- Problem-solving and analytical skills
- Communication and teamwork skills
The US base salary range for this full-time position is between $137,200 - $221,900 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.
gFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google's Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC's "Know your rights: workplace discrimination is illegal" (PDF).
It's important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.
Originally posted on Himalayas