Applied AI Engineer - AI Finance Agent

原始資料於 2026-11-04 查閱；內容可能已更新，請查看原始職位。

What We're Looking For
Strong software engineering foundation, preferably with Python and backend systems.
Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools.
Able to connect AI systems with real product, data and operational workflows.
Good judgement on where AI helps and where rule-based systems or human review are better.
Understands evaluation, accuracy, latency, cost, privacy and failure modes.
Fast builder who can prototype, test and ship practical systems.
Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.
The Kind of Builder We Want
Practical AI builder, not just a prompt experimenter.
Thinks in workflows, systems and measurable quality.
Can build quickly but still cares about guardrails and reliability.
Comfortable working with messy real-world data and processes.
Honest about what AI can and cannot do.
This Role Is Not For
People who only want research projects with no production ownership.
Candidates who treat AI as demos instead of working systems.
Engineers who do not care about evaluation, reliability or user impact.
People who overclaim AI impact without evidence.
Builders who cannot work with product, ops and business teams.
Location
This role is remote, but candidates must be based in Hong Kong. We are hiring specifically for this market, so applicants should already be based in Hong Kong.
Language
English is our main working language across global teams. Strong English communication is required.
Interview Process
Our process is designed to move fast:
Online assessment or practical task
Technical interview
CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.