Applied AI Engineer (Fintech)

TL;DR

Applied AI Engineer (Python/Fintech): Building AI-native systems for a Neobank app with an accent on automating real workflows, customer support, and internal operations. Focus on integrating LLMs, designing RAG-based agents, and productionizing scalable AI-driven financial services.

Location: Hybrid in Malaysia (at least 3 days per week in office)

Company

Leading insurance platform in Southeast Asia expanding into a comprehensive financial ecosystem including spending, saving, and investing.

What you will do

• Develop AI-powered workflows, assistants, and autonomous agents.
• Integrate LLMs with internal data, APIs, and knowledge bases.
• Implement AI solutions for CRM, onboarding, claims, and payments.
• Design evaluation, monitoring, and fallback systems to ensure AI reliability and safety.
• Prototype and productionize practical AI tools to reduce manual operational work.
• Collaborate with product and engineering teams to turn manual processes into scalable systems.

Requirements

• Strong software engineering foundation, specifically with Python and backend systems.
• Hands-on experience building with LLM APIs, agents, RAG, or workflow automation.
• Ability to connect AI systems with real product and operational workflows.
• Understanding of AI evaluation, accuracy, latency, cost, and privacy.
• English: Strong communication skills required.
• Location: Must be based in Malaysia for hybrid office attendance.

Nice to have

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

Culture & Benefits

• Global environment with a team of over 20 nationalities.
• Passion-driven culture focused on building next-generation products over status quo.
• Fast-paced environment for builders who enjoy rapid prototyping and shipping.

Hiring process

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