Applied AI Engineer (Fintech)

TL;DR

Applied AI Engineer (Python/LLM): Building AI-native systems for a Neobank app with an accent on AI-powered workflows, agents, and automation systems. Focus on integrating LLMs with real-world product data, designing reliable evaluation flows, and productionizing AI assistants to reduce manual work.

Location: Remote, but candidates must be based in Australia

Company

A leading insurance and financial services platform in Southeast Asia expanding into AI-powered Neobanking.

What you will do

• Build AI-powered workflows, assistants, agents, and automation systems.
• Apply AI to customer support, CRM, onboarding, claims, payments, and internal tools.
• Develop integrations between LLMs, internal data, APIs, and knowledge bases.
• Design evaluation, monitoring, and fallback flows to ensure AI reliability and safety.
• Prototype and productionize AI systems to create real business value.

Requirements

• Strong software engineering foundation, preferably with Python and backend systems.
• Hands-on experience with LLM APIs, agents, RAG, and workflow automation.
• Ability to connect AI systems with operational workflows and real product data.
• Deep understanding of AI evaluation, accuracy, latency, cost, and privacy.
• Must be based in Australia.
• Strong English communication skills.

Nice to have

• Experience in fintech, insurance, support automation, or CRM.

Culture & Benefits

• Global team with over 20 nationalities.
• Passion-driven culture focused on building next-generation products.
• Remote-first working arrangement within the Australian market.

Hiring process

• Online assessment or practical task.
• Technical interview.
• Final round with the CEO.