$ cat jobs/applied-ai-engineer-ai-finance-agent-bjak-dce6e54b0a19.json
Applied AI Engineer - AI Finance Agent
About BJAK 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. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. If you're this person, we'd love to talk to you. 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. 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 rea
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