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-powered workflows, assistants, agents, and automation systems for an AI Finance Agent with an accent on LLM integrations, backend systems, and production-focused workflow automation. Focus on designing evaluation, monitoring, and fallback flows, connecting AI to real business systems, and shipping reliable solutions across financial services operations.
Location: Remote, candidates must already be based in Australia
Company
is a financial services platform that began with online insurance and is expanding into spending, saving, investing, exchanging, travelling, and other money-management services across Southeast Asia.
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.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
- Design evaluation, monitoring, and fallback flows to make AI outputs safe, useful, and reliable.
- Prototype with users or operators and productionize solutions that demonstrate measurable value.
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, and failure modes.
- Strong English communication is required.
- Must already be based in Australia.
Nice to have
- Experience in fintech, insurance, support automation, CRM, or operations automation.
- Ability to prototype and ship practical systems quickly while maintaining guardrails and reliability.
Culture & Benefits
- Remote work for candidates based in Australia.
- Collaboration with global teams representing more than 20 nationalities.
- Focus on practical AI systems, measurable quality, reliability, and user impact.
- Work across real-world financial services workflows and operational processes.
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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