Applied AI Engineer (Fintech)

TL;DR

Applied AI Engineer (Python/Fintech): Building AI-native systems for a finance super app with an accent on AI-powered workflows, assistants, and automation. Focus on integrating LLMs with internal data and designing reliable evaluation and monitoring flows.

Location: Remote (Must be based in Australia)

Company

hirify.global is a leading insurance platform in Southeast Asia expanding into a comprehensive finance super app to help people plan and grow their money.

What you will do

• Build AI-powered workflows, assistants, agents, and automation systems across CRM, onboarding, and payments.
• Turn manual operational processes into scalable AI-native systems in collaboration with product teams.
• Develop integrations between LLMs, internal APIs, knowledge bases, and business systems.
• Design and implement evaluation, monitoring, and fallback flows to ensure AI output reliability.
• Rapidly prototype and productionize practical AI systems based on user and operator testing.
• Optimize speed and quality across internal and customer-facing workflows.

Requirements

• Strong software engineering foundation, preferably with Python and backend systems.
• Hands-on experience building with LLM APIs, RAG, and AI agents.
• Ability to connect AI systems with real-world product and operational data.
• Deep understanding of AI evaluation, latency, cost, privacy, and failure modes.
• Must be based in Australia.
• Strong English communication (C1) required.

Nice to have

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

Culture & Benefits

• Remote-first work environment with a diverse, global team of over 20 nationalities.
• Culture of passion and innovation, focusing on redefining financial applications rather than maintaining the status quo.
• Fast-paced environment for builders who prefer ownership and production over research-only projects.

Hiring process

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