Applied AI Engineer - AI Neobank App (Hong Kong)
Bjak
Hong Kongपूर्णकालिकरिमोटआवेदन की अंतिम तिथि 16 सित॰ 2026
भूमिका के बारे में
- 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 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
- This Role Is Not For People who only want research projects with no production ownership
- Candidates who treat AI as demos instead of working systems
- Engineers who do not care about evaluation, reliability or user impact
- People who overclaim AI impact without evidence
- Builders who cannot work with product, ops and business teams
- Location This role is remote, but candidates must be based in Hong Kong
- We are hiring specifically for this market, so applicants should already be based in Hong Kong
- Language English is our main working language across global teams
- Strong English communication is required
- Interview Process Our process is designed to move fast: Online assessment or practical task Technical interview CEO / final round For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process
- Candidates who complete assessments quickly will be prioritized
- Originally posted on Himalayas
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Entry Level Applied AI Engineer
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