Applied AI Engineer - AI Finance Agent

About the role

BJAK, the leading insurance platform in Southeast Asia, is looking for applied AI engineers to build AI-native systems for its AI Finance Agent. This is not a research-only role: the team needs builders who use AI to automate real workflows, improve products and reduce manual work. The role is remote, but candidates must be based in Thailand.

Key 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.
• Design 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 where AI creates real business value.

Required profile

• 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.
• Strong English communication; the role is remote and based in Thailand.

The interview process is fast: online assessment or practical task, technical interview, and CEO/final round, with offers aimed at being made within a week of starting interviews.