Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This Software Engineer role is part of SB OAI Japan’s business organization and works with enterprise customers to put advanced AI models into production. The position connects customer operations, systems, and data with AI-native business transformation, collaborating with FDE, Product, Research, and Security teams.
The engineer leads work from requirements definition through implementation and operational adoption. Responsibilities include defining use cases, designing system and data connections for AI agents, shaping architecture, implementing prototypes and production systems, and establishing testing, release, monitoring, incident response, SLOs, security, governance, and operational processes. The posting names Python and TypeScript as example primary languages and requires experience with web application frameworks and cloud environments.
Applicants must have at least three years of professional software development experience, production development and operational improvement experience using a web application framework, and experience building and operating systems in the cloud. They must also have driven projects from requirements organization through release, including customer discussions, and have designed and implemented production-quality software in a major programming language.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
Plans and develops EMS services for homes and commercial users, integrating batteries and solar devices with web/mobile apps, cloud systems, APIs, and AI-based demand and generation forecasting.
Shape and implement the future of a design organization by applying software development and UX design expertise to transform cross-functional processes, capabilities, quality systems, and designer development.
Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.