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 role sits in SoftBank’s Network Systems Development division, within the AI Innovation Promotion team. It leads the shift toward AI-native development across the organization, helping development teams apply generative AI in practical work rather than treating adoption as a standalone proof of concept.
The work includes driving AI-assisted development across departments; researching, testing, and deploying advanced use cases; defining how LLM models are used; planning AI proofs of concept for operational efficiency; and supporting development teams. The engineer also builds and operates assets such as Skills and Agent.md, and evaluates harness engineering, loop engineering, autonomous development, and overnight automated development. Named technologies and tools include Python, TypeScript, Shell, Copilot, Codex, ChatGPT, Claude Code, Devin, LLMs, and generative AI.
Applicants must have experience developing tools or business applications for efficiency or automation using Python, TypeScript, Shell, or similar technologies. They must also have experience organizing operational challenges or processes and planning and driving improvements with stakeholders. The posting additionally requires the ability to investigate unfamiliar technologies, test them incrementally, and turn them into practical solutions, along with an interest in using AI development-support tools to improve productivity.
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