Senior Platform Engineer - AI
Required skills
- AI
- Agentic Platforms
- AI Observability
- AI Security
- LLMs
- AI-Centric DevOps
- CI/CD
- AI Agents
- Machine Learning
- GCP AI services
Nice to have
- performance optimization
- distributed systems
- multi-cloud
- AWS
- Azure
Role summary
gFiber is seeking a Senior AI Platform Engineer to modernize its foundational systems for AI-driven product features. This role involves building agentic platforms, implementing AI observability and security for LLMs, and developing AI-centric DevOps practices. The engineer will design and deploy next-generation agentic systems and LLM-powered platforms, bridging AI architecture with cloud infrastructure. Key responsibilities include architecting the Internal AI Developer Platform (IDP), building enterprise Model Gateways with unified routing and telemetry, and optimizing RAG pipelines. Experience with GCP AI services, MLOps, GKE, Python, Java, and Infrastructure as Code is required.
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 November 2nd, 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:
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:
At a minimum we'd like you to have:
It's preferred if you have:
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.
#LI-DNI
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 our accommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.
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