About BJAK
The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. Today, it is the leading insurance platform in Southeast Asia and is expanding into spending, saving, investing, and more. We have teams working around the world, with over 20 nationalities, and we are looking for talented, driven individuals who are passionate about building next-generation financial products.
The Role
We are looking for applied AI engineers to build AI-native systems for BJAK's AI Neobank app. 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.
What You'll Own
- 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.
What We're Looking For
- 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.
The Kind of Builder We Want
- Practical AI builder, not just a prompt experimenter.
- Thinks in workflows, systems and measurable quality.
- Can build quickly but still cares about guardrails and reliability.
- Comfortable working with messy real-world data and processes.
- Honest about what AI can and cannot do.