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 within SoftBank’s Next-Generation Service Platform division and focuses on building a shared AI service platform rather than individual customer applications. The platform is intended for reuse across multiple organizations and services, supporting enterprise AI application and agent development with security, governance, reliability, and developer experience in mind.
The engineer will contribute across requirements analysis, technical validation, architecture, implementation, reviews, and operational improvement. Work includes shared APIs, SDKs, templates, RAG, LLM Proxy functions, model evaluation, AI lifecycle management, data pipelines, query and processing platforms, and LLMOps, MLOps, and DevOps foundations. The posting also names cloud, containers, distributed systems, large-scale data platforms, Terraform, Kubernetes, Databricks, and Snowflake.
Applicants must have experience designing, developing, and operating backend systems or web APIs using Python, Go, or Java, or experience designing, building, and operating cloud, container, distributed-system, or data-platform environments. Experience covering implementation through operations, and the ability to organize ambiguous problems and drive development with stakeholders, are also required.
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