Applied AI Engineer - AI Finance Agent

About the role

BJAK, the leading insurance platform in Southeast Asia, is expanding beyond insurance into spending, saving, investing and more. It 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.

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.
• Integrate 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

• Remote role, but candidates must be based in Spain; the company hires specifically for this market.
• 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 prototypes, tests and ships practical systems.
• Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.
• Strong English communication; English is the main working language.