обновлено 5 дней назад
Applied AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (AI/Fintech): Building AI-native workflows, assistants, agents, and automation systems for financial services with an accent on LLM integrations, backend systems, and operational workflows. Focus on evaluating and monitoring AI outputs, designing reliable fallback flows, and productionizing prototypes that improve customer support, CRM, onboarding, claims, payments, and operations.
Location: Tokyo, Japan; hybrid work with at least 3 days per week in the Japan office
Company
is a financial services platform that began with online insurance and is expanding into spending, saving, investing, exchanging, and travel-related products.
What you will do
- Build AI-powered workflows, assistants, agents, and automation systems for the AI Finance Agent.
- Apply AI to customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
- Integrate LLMs with internal data, APIs, documents, knowledge bases, and business systems.
- Design evaluation, monitoring, and fallback flows to make AI outputs safe, useful, and reliable.
- Prototype with users or operators, test practical systems, and productionize successful solutions.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
Requirements
- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience with LLM APIs, agents, RAG, workflow automation, or AI tools.
- Ability to connect AI systems with real product, data, and operational workflows.
- Understanding of evaluation, accuracy, latency, cost, privacy, reliability, and failure modes.
- Strong English communication is required; English is the main working language across global teams.
- Availability to work from the Japan office at least 3 days per week in a hybrid arrangement.
Nice to have
- Experience in fintech, insurance, support automation, CRM, or operations automation.
- Experience building practical AI systems rather than research-only projects or demos.
Culture & Benefits
- Work with global teams representing more than 20 nationalities.
- Focus on measurable business value, practical systems, guardrails, and reliability.
- Opportunity to improve the speed, quality, and consistency of financial services workflows with AI.
Hiring process
- Online assessment or practical task.
- Technical interview.
- CEO or final interview round; the process may be completed and an offer made within 1 week from the start of interviews for strong candidates.
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