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 Deployment Engineer role sits within SB OAI Japan, the SoftBank organization developing services and products with OpenAI to support AI-native business transformation. The position works with strategic enterprise customers to move generative AI beyond proof-of-concept projects and into production systems that remain embedded in business operations. It also connects customer implementation work with OpenAI and SB OAI Japan Product, Research, and Security teams.
The engineer designs and implements systems in customer cloud and on-premise environments, including RAG applications, agent architectures, workflow automation, prompt and evaluation design, and quality-improvement cycles. The work spans APIs, backend and frontend components, security and governance requirements, and end-to-end delivery from prototype to production. Customer engineers and business teams are involved throughout implementation.
Applicants must have at least three years of software engineering experience, with consistent experience designing, implementing, and operating products or platforms. The posting requires production-quality development using Python or JavaScript, system construction and operation in cloud environments such as AWS, GCP, or Azure, experience implementing application features with LLM or generative AI, and practical development operations using GitHub or DevOps practices including CI/CD or automation.
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