Applied AI Engineer - AI Finance Agent

Stack

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

Requirements

• ▹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

Nice to have

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

Soft skills

About the company

BJAK started in 2019 as a mobile-first insurance platform and is now the leading insurance platform in Southeast Asia. The company is expanding its financial services, with teams from over 20 nationalities working worldwide.