Applied AI Engineer

The role

This role sits within the Applied AI group and focuses on bringing frontier models into major Japanese companies. The person works alongside sales, product, and engineering colleagues to design and roll out custom language-model systems that meet business goals while holding to strict safety standards. It blends hands-on technical advisory with customer onboarding and occasional travel to client sites.

What you would do

• Serve as the main technical contact for prospective Japanese clients evaluating the Claude model.
• Show how Claude addresses significant business challenges by designing system architectures and crafting inventive prompting methods.
• Work with account executives to pin down customer needs and tune Claude to match them.
• Build bespoke pilots, prototypes, and evaluation frameworks that help customers justify adoption.
• Guide architecture and integration choices so Claude fits into each client's existing technology stack.
• Propose fixes for technical blockers that arise during engagements.
• Help clients onboard across Japan, coordinating internal teams to secure a smooth ramp-up.
• Remain a technical advisor through implementation and after launch.
• Visit client offices periodically for workshops, deployment help, and relationship building.
• Define and drive the strategy for applying the latest model capabilities across Japan.

What they asked for

• Background in product management with a technical bent, forward-deployed work, or platform engineering.
• Near-native Japanese plus business-grade English.
• Track record of inventing new approaches for technical systems in an emerging market within Japan.
• Solid programming ability in Python and capacity to pair with engineers.
• Bachelor's degree or a comparable mix of education, training, and hands-on experience in a relevant field.
• Expected to be in an office at least a quarter of the time under the hybrid policy.

Nice to have

• Four or more years in a comparable field.
• Hands-on time building production systems on large language models.
• Comfort operating amid uncertainty and adapting across problem domains, favoring simple explanations.
• Enjoyment of cross-team collaboration and managing trade-offs between competing priorities.
• Interest in mentoring and developing others.
• Strong skill translating complex ideas for both outside clients and internal colleagues.
• Creative thinking about applying technology safely and for good, moving safe AI forward.