Applied AI Engineer - AI Finance Agent

The role

Applied AI engineers will build AI-native systems for the BJAK AI Finance Agent. This role involves building AI-powered workflows, assistants, and automation systems to improve products and automate real workflows.

What you will do

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Required qualifications

• Strong software engineering foundation.
• 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.
• Strong English communication is required.

Nice to have

• Python and backend systems
• Experience in fintech, insurance, support automation, CRM or operations automation

Before you apply

• Candidates must be based in the US.
• Online assessment or practical task
• Technical interview
• CEO / final round

About the company

BJAK is a mobile-first insurance platform in Southeast Asia that is expanding to help people with spending, saving, investing, exchanging, and travelling. The company has teams working around the world with over 20 nationalities.