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About the Role
We are looking for applied AI engineers to build AI-native systems for BJAK's AI Neobank app. This role focuses on using AI to automate real workflows, improve products, reduce manual work, and simplify financial services 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 transform 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 to ensure AI outputs are useful, safe, and reliable.
- Prototype quickly, test with users or operators, and productionize successful solutions.
- Improve speed, quality, and consistency across workflows using AI where it provides 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.
- Ability to connect AI systems with real product, data, and operational workflows.
- Good judgment on where AI is beneficial versus rule-based systems or human review.
- Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
- Ability to prototype, test, and ship practical systems quickly.
- Experience in fintech, insurance, support automation, CRM, or operations automation is a strong advantage.
- Must be a practical AI builder, not just a prompt experimenter.
- Must think in terms of workflows, systems, and measurable quality.
- Must be able to build quickly while considering guardrails and reliability.
- Must be comfortable working with messy real-world data and processes.
- Must be honest about AI capabilities and limitations.
- Not suitable for individuals seeking only research projects without production ownership.
- Not suitable for candidates who treat AI as demos rather than working systems.
- Not suitable for engineers who disregard evaluation, reliability, or user impact.
- Not suitable for individuals who overclaim AI impact without evidence.
- Not suitable for builders unable to collaborate with product, ops, and business teams.
Skills
- Python
- Backend systems
- LLM APIs
- Agents
- RAG
- Workflow automation
- AI tools
- API integration
- Data integration
- Evaluation
- Monitoring
- Fallback flows
- Prototyping
- Testing
- Productionization
- Fintech
- Insurance
- Support automation
- CRM automation
- Operations automation
- English communication
Location
- Japan
Work Type
- Hybrid
Experience Level
- Applied AI engineer
- Software engineering
- Backend systems
- LLM APIs
- Agents
- RAG
- Workflow automation
- AI tools
- Fintech
- Insurance
- Support automation
- CRM automation
- Operations automation
About the Company
- BJAK's original mission is to provide smarter ways for people to plan, save, and grow their money.
- Founded in 2019, BJAK built the first mobile-first insurance platform, making insurance accessible online to millions in Southeast Asia, and is now the leading insurance platform in the region.
- The company is expanding to help people with spending, saving, investing, exchanging, travelling, and more, aiming to help people get more from their money daily.
- BJAK has global teams with over 20 nationalities, working from offices and remotely, who are passionate about their work.
- The company seeks talented and driven individuals passionate about building next-generation products and redefining financial applications for everyone.