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About the Role

The Generative AI Engineering team builds enterprise-grade AI platforms and developer-facing capabilities. This role involves designing, building, and operating secure, reliable, and observable AI systems, including LLM integration, model governance, and developer tooling to support engineering productivity at scale.

Responsibilities

• Build, operate, and improve enterprise Generative AI platform capabilities for engineering use cases
• Design and implement backend services, APIs, and integrations for secure LLM usage
• Work with AI gateway technologies for model routing, policy enforcement, observability, and cost control
• Integrate GenAI systems with enterprise identity and access management platforms
• Build integrations with internal engineering systems, developer tools, and MCP servers or clients
• Contribute to architecture and implementation decisions regarding MCP and enterprise authorization patterns
• Develop production-grade services using Python, TypeScript, or similar languages
• Contribute to CI/CD pipelines, infrastructure-as-code, cloud resources, and Kubernetes workloads
• Evaluate GenAI frameworks and model providers while communicating trade-offs to stakeholders
• Create documentation for platform behavior, security assumptions, and operational procedures

Requirements

• 4+ years of professional software engineering experience building and operating production systems
• Hands-on experience building backend services, APIs, or developer tools using Python, TypeScript, Java, or Go
• Experience deploying and operating production systems using cloud infrastructure, CI/CD, and Kubernetes
• Experience integrating applications with enterprise authentication and authorization systems like Microsoft Entra ID, OAuth2/OIDC, or SAML
• Experience building systems using LLM APIs or model providers such as OpenAI, Azure OpenAI, Anthropic, or Bedrock
• Understanding of production concerns for GenAI including access control, model routing, observability, and cost management
• Strong engineering fundamentals in system design, testing, debugging, and code review
• Ability to work across teams and translate ambiguous requirements into engineering plans
• Must be able to work onsite at least 3 days per week

Skills

• Python
• TypeScript
• Java
• Go
• Kubernetes
• Cloud Infrastructure
• CI/CD
• Infrastructure as Code
• Microsoft Entra ID
• OAuth2/OIDC
• SAML
• LLM APIs
• AI Gateway Technologies
• Model Context Protocol (MCP)
• System Design

Location

• Hybrid

Work Type

• Full-time
• Hybrid

Experience Level

• 4+ years

Salary/Compensations

• Competitive salary based on experience

Benefits

• Flexible working time
• 20 days paid holiday per year
• 6 days sick leave per year
• Japanese Social Insurance
• Housing allowance
• Retirement benefits
• Rental cars support
• In-house training programs

About the Company

• Woven by Toyota is a mobility company focused on human-centric innovation.
• Core pillars include AD/ADAS, Arene software platform, Woven City, and Cloud & AI.
• Mission is to achieve a world with zero accidents and enhanced well-being for all.

Equal Opportunity

• We are an equal opportunity employer and value diversity.