What are the responsibilities and job description for the Senior Platform Engineer - AI position at ChatGPT Jobs?
Job Description
Senior AI Platform Engineer
Location: Austin, TX
Application Window: Open until at least June 1, 2026. May close earlier based on business needs.
Visa Sponsorship: Not eligible for immigration sponsorship.
Role Description
GFiber is transforming its platform engineering to support AI-driven product features, focusing on agentic platforms, AI observability & security (LLMs), and AI-centric DevOps. We are seeking a Senior AI Platform Engineer to design and deploy next-generation agentic systems and LLM-powered platforms, bridging AI architecture and scalable cloud infrastructure.
Responsibilities
Base Salary Range: $156,800 - $229,700 (US full-time) bonus cash award benefits. Actual pay varies by location.
Equal Opportunity & Accommodations
GFiber is an equal opportunity employer. Disclosure is voluntary and confidential per Google's Candidate Privacy Policy. For accommodation needs, complete the accommodations for applicants form.
Senior AI Platform Engineer
Location: Austin, TX
- Remote
Application Window: Open until at least June 1, 2026. May close earlier based on business needs.
Visa Sponsorship: Not eligible for immigration sponsorship.
Role Description
GFiber is transforming its platform engineering to support AI-driven product features, focusing on agentic platforms, AI observability & security (LLMs), and AI-centric DevOps. We are seeking a Senior AI Platform Engineer to design and deploy next-generation agentic systems and LLM-powered platforms, bridging AI architecture and scalable cloud infrastructure.
Responsibilities
- Architect and build the Internal AI Developer Platform (IDP), abstracting GCP AI services into self-service APIs, SDKs, or Terraform modules for product engineering teams.
- Design and build enterprise Model Gateways (unified routing layers for rate-limiting, load balancing, failovers, and unified telemetry).
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal policies and technical documentation.
- MLOps & Deployment: Oversee deployment of microservices using GKE, Cloud SQL, and Cloud Build.
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in SDLC, CI/CD pipelines, automation, troubleshooting, launching, and supporting enterprise applications (as individual contributor and Lead).
- 5 years of experience as a senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure, including multi-agent systems, workflow automation, and integration frameworks (e.g., A2A, 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.), plus cloud infrastructure management/automation (Terraform, Ansible, etc.).
- Experience optimizing applications (stand-alone and distributed systems) for performance.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with multi-cloud environments (AWS, Azure, etc.).
- Problem-solving and analytical skills.
- Communication and teamwork skills.
Base Salary Range: $156,800 - $229,700 (US full-time) bonus cash award benefits. Actual pay varies by location.
Equal Opportunity & Accommodations
GFiber is an equal opportunity employer. Disclosure is voluntary and confidential per Google's Candidate Privacy Policy. For accommodation needs, complete the accommodations for applicants form.
Salary : $156,800 - $229,700