Software Engineer, Generative AI Engineering

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 visionary and deeply technical engineer to pioneer the future of multi-agent systems in the Automotive industry. You are an expert in the LLM and AI agent space who is not just content with using existing tools but is driven to invent what comes next. You can take a complex enterprise challenge -like secure, cross-organizational data access- and prototype a robust, agent-based solution. You are an R&D-focused builder who can turn ambiguous ideas into functional proofs-of-concept that will define the Automotive ecosystem’s outlook for the years to come.

RESPONSIBILITIES

  • Spearhead the research and development of advanced multi-agent workflows, chains, and collaborative problem-solving techniques.
  • Prototype and validate security models for cross-organizational agent interaction, including fine-grained Role-Based Access Control (RBAC) and user token forwarding primitives.
  • Design and implement novel prompting strategies and agent tool-chains that produce reliable, structured outputs for complex enterprise tasks.
  • Develop proof-of-concept AI agents and tools on our Platform as a Service (PaaS) architecture.
  • Develop and deploy the core services of the PaaS, including agent registration, message routing, fine-grained permission checks, and a centralized management API.
  • Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes.
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