Lead the development strategy and manage the Platform team for exaBase Studio, focusing on AI solutions.
About this role
This role sits in the AI Platform business, delivering custom AI/ML solutions and platform-based applications for clients across a range of industries. It covers the last mile of AI implementation: turning client data, workflows, and business requirements into applications that can be used in practice, rather than stopping at a proof of concept.
The engineer selects and designs solutions using generative AI, LLMs, RAG, agents, machine learning, mathematical optimization, or robotics. Responsibilities include prompt engineering, PoC work, LLM API integration, pipelines for unstructured text and image data, application development, and hands-on implementation. Projects may use exaBase Studio, Python, SQL, AWS, GCP, Azure, Docker, and Git, with project planning and QCDF management also included.
Applicants must have experience using Python and client negotiation or on-site client work, plus native-level Japanese. They must also have either data science or AI/ML engineering experience with hands-on coding and implementation, or experience designing and building web applications or data platforms while leading work from requirements definition through implementation.
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