GFiber

Internet

SeniorAIPlatformEngineer

$140–206k Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Platform Engineer at GFiber. Skills: AI Platform Engineering, Agentic Platforms, LLM Stack, DevOps practices, Cloud Infrastructure, GCP AI services, RAG pipelines, MLOps. Architect and build the Internal AI Developer Platform (IDP). Design and Build enterprise Model Gateways”

What You'll Achieve.

support a new generation of AI initiatives; scalable and reliable AI performance

Industry & Context.

Internet
Problems you'll solve

Problem-solving and analytical skills

Eligibility Requirements

This role is not eligible for immigration sponsorship.

What They're Looking For.

Must 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), experience with cloud infrastructure management and automation technologies (Terraform, Ansible etc)

Nice to 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. )

What You'll Do.

Architect and build the Internal AI Developer Platform (IDP)

Design and Build enterprise Model Gateways

Build and optimize RAG (Retrieval-Augmented Generation) pipelines

Oversee the deployment of microservices using GKE (Google Kubernetes Engine)

Architecting the entire ecosystem—utilizing advanced prompt engineering

LLM stack and DevOps practices to build AI Platform and optimize GFiber’s enterprise workflows

driving automation strategies and sophisticated infrastructure standards across our entire product suite

How You'll Work.

Team & Collaboration

product engineering teams; teamwork skills

Communication Scope

Communication skills

Full Job Description

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. GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet. The application window will be open until at least May 25, 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 st

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