Platform Engineer, Gen AI – Remote Japan | High-Impact AI Infrastructure Role

📍 Location: jp

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in jp

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This role is for a Platform Engineer specializing in Gen AI infrastructure at Moro Technology Corporation, a global digital solutions company focused on AI-driven transformation. You will design and scale a production-grade platform powering an AI-assisted software development lifecycle (SDLC). The ideal candidate is a senior-level engineer with deep experience in cloud-native systems, distributed architecture, and LLM-based applications. This position sits at the intersection of developer tooling, AI agents, and enterprise-scale infrastructure, enabling thousands of engineers to ship software faster and more safely using intelligent automation.

📅 Job Timeline & Status

This role is in an active hiring phase, meaning the company is likely screening candidates continuously. Given the specialized nature of AI platform engineering, competition is expected to be high and shortlisted candidates may be contacted quickly. Applicants with strong infrastructure and LLM experience should apply immediately, as roles in this domain often close without long public deadlines.

🌍 Work Eligibility & Location

This is a globally accessible remote engineering role with strong ties to Japan-based operations. While not explicitly stated, enterprise-level Japanese tech firms often support international hires for niche AI infrastructure roles. Candidates with multilingual capability, especially Japanese + English, will have a competitive advantage.

💰 Salary Intelligence

Compensation is expected to be competitive with global AI infrastructure roles. Given the requirement for 5+ years experience and expertise in Kubernetes, Terraform, and LLM systems, this role likely sits in the upper-tier senior engineering band. Additional equity or performance-based incentives may be included depending on internal structure.

📊 Role Breakdown

This position focuses on building the backbone of an AI-assisted SDLC platform that orchestrates multi-agent workflows for software engineering. You will design systems that manage state, context switching, and approval gates between AI agents, ensuring safe and deterministic execution in production environments. A large portion of the work involves building scalable infrastructure using Python, TypeScript, Kubernetes, and Terraform. You will also create backend services that integrate with developer tools like VS Code extensions and GitHub workflows.

Approximately 40% of the work involves platform architecture and infrastructure design, 30% focuses on building agent orchestration systems for LLM workflows, and the remaining 30% involves developer tooling, CI/CD optimization, and enterprise integrations. You will also collaborate closely with AI/LLM engineers to translate experimental agent concepts into production-grade systems capable of handling thousands of concurrent operations reliably.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly specialized engineering role combining platform engineering and AI agent systems. The complexity is elevated due to requirements in distributed systems, real-time orchestration, and enterprise-grade reliability. Candidates without production-scale infrastructure experience or LLM system exposure may find it difficult to compete.

🚀 Career Impact

This role offers strong long-term upside in AI infrastructure engineering. You will be working directly on next-generation developer platforms, which positions you for senior leadership roles in AI engineering, platform architecture, or even founding technical ventures in the future.

📋 Key Responsibilities

You will be responsible for designing and maintaining a scalable AI SDLC platform using modern infrastructure practices. This includes building distributed systems that manage AI agent workflows, state transitions, and approval gates. You will implement backend services using Python and TypeScript, ensuring seamless integration with developer environments like VS Code and GitHub.

A key part of the role involves building and maintaining CI/CD pipelines, improving deployment reliability, and ensuring safe rollout of AI-driven features. You will also collaborate with LLM engineers to refine multi-agent communication patterns and optimize system performance. Additionally, you will integrate enterprise systems and ensure the platform remains secure, scalable, and production-ready under heavy load conditions.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role shows strong application urgency due to its niche AI infrastructure focus and likely limited hiring pipeline. Competition is expected to be high because of global demand for platform engineers with LLM experience. Candidates should expect fast screening cycles and technical evaluations within weeks. Since no strict deadline is published, applications may close without notice, and early applicants typically have a better chance of progressing.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This listing is based on the official Moro Technology Corporation posting. The role details are aligned with enterprise-level AI platform engineering requirements and reflect a high-credibility corporate hiring announcement. Last updated: May 2026. Candidates should always verify final requirements on the company’s official careers page before applying.