Senior Platform Engineer – AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop the Internal AI Developer Platform (IDP).

• Simplify GCP AI services like Vertex AI, Agent Engine, and Model Garden into self-service APIs, SDKs, or Terraform modules.

• Create and implement enterprise model gateways featuring rate-limiting, load balancing, failover mechanisms, and unified telemetry.

• Construct and enhance RAG pipelines based on internal client policies and technical documentation.

• Manage microservices deployment utilizing GKE, Cloud SQL, and Cloud Build.

• Guarantee scalable and dependable AI performance.

• Propel automation initiatives and establish infrastructure standards throughout the product suite.

⛳️ Requirements

• Bachelor’s degree in Computer Science, a related discipline, or equivalent hands-on experience.

• 8 years of experience in establishing SDLC, CI/CD pipelines, automation, troubleshooting, and launching and supporting enterprise applications both as an individual contributor and in a leadership role.

• 5 years of experience as a senior platform engineer, with recent focus on architecting and scaling enterprise AI infrastructure.

• Proven expertise in developing multi-agent systems, workflow automation, and employing new integration frameworks such as A2A and MCP.

• 5 years of practical experience with public cloud and Infrastructure as Code (IAC).

• Proficiency in Python, Java, and GCP infrastructure tools including GKE, Cloud Run, Cloud Functions, and GCS.

• Familiarity with Terraform and Ansible.

• This role is not eligible for immigration sponsorship.

🏝️ Benefits

• Bonus.

• Comprehensive benefits.

• Equal opportunity employment.

• An accessible and inclusive workplace.

• Support for applicant accommodation.