Applied AI Engineer - AI Finance Agent

Summary

BJAK is a leading insurance platform in Southeast Asia, expanding its services to help people manage their finances. They are seeking an Applied AI Engineer to build AI-native systems for their AI Finance Agent, focusing on automating workflows and improving financial services.

Responsibilities

• 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

Skills

• Strong software engineering foundation, preferably with Python and backend systems
• 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
• Practical AI builder, not just a prompt experimenter
• Thinks in workflows, systems and measurable quality
• Can build quickly but still cares about guardrails and reliability
• Comfortable working with messy real-world data and processes
• Honest about what AI can and cannot do
• Candidates must be based in the US
• Strong English communication is required
• Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage

Qualifications

Must Haves

• Strong software engineering foundation, preferably with Python and backend systems
• 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
• Practical AI builder, not just a prompt experimenter
• Thinks in workflows, systems and measurable quality
• Can build quickly but still cares about guardrails and reliability
• Comfortable working with messy real-world data and processes
• Honest about what AI can and cannot do
• Candidates must be based in the US
• Strong English communication is required

Nice to Haves

• Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage