Platform Engineer, Gen AI
Moro Tech • Japan
Posted: May 8, 2026
Job Description
About MTC
Moro Technology Corporation is a global technology partner committed to delivering innovative digital solutions that empower businesses to thrive in an increasingly connected world. With a strong foundation in Japan and a growing international presence, MTC specializes in building cutting-edge software and digital infrastructure that bridge cultures and drive transformation across industries.
Guided by a mission to shape the future with technology and creativity, the company fosters collaboration across borders, emphasizing excellence, adaptability, and long-term value creation.
WHO ARE WE LOOKING FOR?
We are looking for a pragmatic and experienced Platform Engineer to build the production-grade platform for AI-assisted Software Development Life Cycle (SDLC). You excel at turning innovative multi-agent concepts into a reliable, enterprise-scale service that will be used by thousands of engineers. You will build the rock-solid foundation that will empower our developers to deliver software in weeks, not months. You are the engineer who makes the AI vision a reality.
RESPONSIBILITIES
- Design, build, and maintain the core infrastructure for the AI-Assisted SDLC Platform using Infrastructure as Code, ensuring high availability and scalability for all agent interactions.
- Develop the production implementation, managing the state, context, and human-approval gates between the various SDLC agents.
- Build the critical integration points for our developers, including backend services for the VS Code extension and webhooks for seamless GitHub pull request workflows.
- Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes.
- Collaborate with the LLM Engineers and software teams to translate complex requirements for agent communication into a robust and scalable technical architecture, iterating based on real-world usage.
- Integrate the platform with critical enterprise systems.
Job Requirements:
- 5+ years of experience as a full-stack or backend engineer, with expert-level proficiency in Python and experience with TypeScript/JavaScript.
- Strong, hands-on experience with cloud infrastructure (AWS preferred), Infrastructure as Code (e.g., Terraform), and container orchestration (Kubernetes).
- Proven track record of designing, building, and managing CI/CD pipelines for production systems.
- Experience building or operating Platform as a Service (PaaS) or large-scale distributed systems in an enterprise environment.
- Familiarity with building applications powered by LLMs.
NICE TO HAVES
- Experience architecting and building developer tools, IDE extensions (e.g., for VS Code), or GitHub Apps.
- Experience building stateful, real-time web applications using technologies like WebSockets or Server-Side Events to power live IDE interactions
- Proven experience designing and building LLM-powered agents and multi-step agentic workflows, especially for code generation or analysis.
- Professional fluency in Japanese, both written and spoken
Additional Content
About MTC
Moro Technology Corporation is a global technology partner committed to delivering innovative digital solutions that empower businesses to thrive in an increasingly connected world. With a strong foundation in Japan and a growing international presence, MTC specializes in building cutting-edge software and digital infrastructure that bridge cultures and drive transformation across industries.
Guided by a mission to shape the future with technology and creativity, the company fosters collaboration across borders, emphasizing excellence, adaptability, and long-term value creation.
WHO ARE WE LOOKING FOR?
We are looking for a pragmatic and experienced Platform Engineer to build the production-grade platform for AI-assisted Software Development Life Cycle (SDLC). You excel at turning innovative multi-agent concepts into a reliable, enterprise-scale service that will be used by thousands of engineers. You will build the rock-solid foundation that will empower our developers to deliver software in weeks, not months. You are the engineer who makes the AI vision a reality.
RESPONSIBILITIES
- Design, build, and maintain the core infrastructure for the AI-Assisted SDLC Platform using Infrastructure as Code, ensuring high availability and scalability for all agent interactions.
- Develop the production implementation, managing the state, context, and human-approval gates between the various SDLC agents.
- Build the critical integration points for our developers, including backend services for the VS Code extension and webhooks for seamless GitHub pull request workflows.
- Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes.
- Collaborate with the LLM Engineers and software teams to translate complex requirements for agent communication into a robust and scalable technical architecture, iterating based on real-world usage.
- Integrate the platform with critical enterprise systems.
Job Requirements:
- 5+ years of experience as a full-stack or backend engineer, with expert-level proficiency in Python and experience with TypeScript/JavaScript.
- Strong, hands-on experience with cloud infrastructure (AWS preferred), Infrastructure as Code (e.g., Terraform), and container orchestration (Kubernetes).
- Proven track record of designing, building, and managing CI/CD pipelines for production systems.
- Experience building or operating Platform as a Service (PaaS) or large-scale distributed systems in an enterprise environment.
- Familiarity with building applications powered by LLMs.
NICE TO HAVES
- Experience architecting and building developer tools, IDE extensions (e.g., for VS Code), or GitHub Apps.
- Experience building stateful, real-time web applications using technologies like WebSockets or Server-Side Events to power live IDE interactions
- Proven experience designing and building LLM-powered agents and multi-step agentic workflows, especially for code generation or analysis.
- Professional fluency in Japanese, both written and spoken