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Applied AI Engineer - AI Finance AgentBJAK · Thailand
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BJAK

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Applied AI Engineer - AI Finance Agent

🗓️ Posted 2026-10-01 Thailand Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market THB 60,000–THB 120,000/mo

About the Company

The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia. Today, we are expanding ways to help people in the region - this includes spending, saving, investing, exchanging, travelling, and more. Our mission is help people get more from their money every day. We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work.

About the Role

We are looking for applied AI engineers to build AI-native systems for BJAK's AI Finance Agent. This is not a research-only role. We need builders who can use AI to automate real workflows, improve products, reduce manual work and make financial services easier for users and teams.

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

Nice to Have

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

Application Notes

For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Our process is designed to move fast: online assessment or practical task, technical interview, CEO / final round. English is our main working language across global teams. Strong English communication is required.