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 engineering role sits within SoftBank’s satto business development organization, which develops a generative AI agent intended to improve users’ work efficiency. The position focuses on advancing the product through applied AI expertise and product-oriented engineering rather than general corporate IT work.
The engineer proposes ways to apply AI technology to the product, develops forward-looking technologies that increase its value, and designs AI functions for specific domains. The posting names TypeScript, JavaScript, React, Node.js, and Tailwind CSS, with practical experience of at least three years in each. Cloud experience with AWS or Google Cloud is also required, along with experience using one of several architectural approaches such as microservices, clean architecture, layered architecture, DDD, TDD, BFF, or serverless architecture.
Applicants must have development experience in at least one relevant area, including web, mobile, or desktop applications, AI or machine learning, or SaaS products. The posting also requires the ability to apply advanced AI technology to services, improve functions using user feedback, solve problems logically, and work effectively in a development team.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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.
Develop image-processing software for factory-automation sensors and measurement equipment, designing, implementing, and evaluating algorithms for varied devices and CPU environments.
Investigates speech and audio AI/ML methods, developing algorithms and analyzing data for speech-based large language modeling, diarization, and speech synthesis.
Lead the ERP product area of Money Forward Cloud, maximizing product value for mid-sized growth companies through collaboration with various stakeholders.