обновлено 2 дня назад
Applied AI Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Fintech): Building AI-native systems, agents, workflows, and automations for a financial services platform with an accent on LLM applications, retrieval, tool calling, and practical workflow automation. Focus on designing reliable production systems that address hallucination risk, latency, cost, security, compliance, and user trust.
Location: Taiwan, hybrid; work from the Taiwan office at least 3 days per week
Company
operates a financial services platform that helps people plan, save, spend, invest, exchange, and manage money through digital products.
What you will do
- Build AI agents, workflows, tools, and automations for customer, product, and operations use cases.
- Apply LLMs, retrieval, tool calling, evaluations, guardrails, and automation to financial workflows.
- Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling, and product intelligence.
- Work with product and engineering teams to identify valuable opportunities, ship solutions, and improve them in production.
- Design reliable systems that address accuracy, hallucination risk, latency, cost, security, compliance, and user trust.
- Turn manual processes into scalable AI-enabled systems.
Requirements
- Hands-on engineering experience building AI agents, LLM applications, RAG systems, automation workflows, copilots, or AI-enabled tools.
- Strong coding ability in Python, TypeScript, JavaScript, or a similar practical stack.
- Ability to ship working systems, evaluate quality, and improve reliability over time.
- Good judgment about what should and should not be automated.
- Strong English communication is required.
- Availability to work from the Taiwan office at least 3 days per week.
Nice to have
- Experience in fintech, banking, support automation, risk, KYC, fraud, CRM, or operations automation.
- Evidence of personally building, shipping, or scaling a serious product, platform, or system.
Culture & Benefits
- Work with global teams representing more than 20 nationalities.
- Build next-generation financial products and practical AI systems rather than research-only prototypes.
- Focus on measurable user impact, production ownership, evaluation, and system reliability.
Hiring process
- Online assessment or practical task.
- Technical interview.
- CEO or final-round interview.
- The process may be completed and an offer made within one week from the start of interviews for strong candidates.
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