Backend & Cloud Engineer (AI)

TL;DR

Backend & Cloud Engineer (Python/GCP): Building and scaling cloud infrastructure and product backends to evaluate, monitor, and govern AI systems with an accent on latency, cost optimization, and API design. Focus on integrating LLM/AI libraries, GPU inference, and ensuring system scalability for a global AI governance platform.

Location: Prioritize candidates in Tokyo; remote may be considered for exceptional candidates.

Company

hirify.global builds software products to evaluate, monitor, and govern AI systems to build trust in AI.

What you will do

• Build and optimize cloud infrastructure focusing on latency, cost, and scalability.
• Develop product backend functionality using web servers and SQL databases.
• Integrate LLM/AI libraries and implement GPU inference.
• Design APIs and integrate external services such as SSO.
• Manage deployments across GCP (primary), Azure, and AWS.

Requirements

• At least 5 years of experience in cloud infrastructure and/or backend engineering.
• Expertise in a chosen cloud platform or technical stack.
• Business-level English and Japanese are required.
• Ability to adapt and learn new technologies quickly.

Nice to have

• Previous experience working at a startup.
• Experience with AI, ML, or LLM.

Culture & Benefits

• Join an international team of former employees from Google, Apple, Stripe, and Meta.
• Significant impact and ownership as an early employee in a scaling startup (1 → 10 stage).
• Backed by top-tier investors and an enterprise customer base.