应用人工智能工程师 - AI 金融代理
Applied AI Engineer - AI Finance Agent
关于BJAK
BJAK的初衷是，我们相信人们值得更智能的方式来规划、储蓄和增长自己的资金。这也是我们名字的由来。
2019年成立以来，我们打造了首个以移动端为主的保险平台，使保险服务在该地区数百万用户中实现在线可及。如今，我们是东南亚领先的保险平台。
如今，我们正在拓展更多方式帮助该地区的人们——包括消费、储蓄、投资、兑换、旅行等。我们的使命是帮助人们每天从他们的资金中获得更多价值。
我们拥有遍布全球的团队，来自20多个不同国家的员工，无论是在办公室还是远程工作，他们都真正享受自己的工作。我们寻找最优秀、最有动力的人才。我们寻找那些为热情而工作，而不是计算工时的人。他们热爱构建下一代优秀产品，而非满足于现状。他们关心重新定义我们周围每个人都能获得最佳金融应用的方式，而不是仅限于少数人。
如果你是这样的人，我们很期待与你交谈。
职位描述
我们正在寻找应用AI工程师，为BJAK的AI金融代理构建AI原生系统。
这不是一个仅限研究的角色。我们需要能够利用AI自动化实际流程、提升产品、减少人工工作并让金融服务对用户和团队更简单的建造者。
你将负责
- 构建AI驱动的工作流程、助手、代理和自动化系统。
- 在客户支持、CRM、注册、理赔、续保、支付、运营和内部工具中应用AI。
- 与产品和工程团队合作，将手动流程转化为可扩展的AI原生系统。
- 构建与LLM、内部数据、API、文档、知识库和业务系统的集成。
- 设计评估、监控和回退流程，确保AI输出有用、安全且可靠。
- 快速原型设计，与用户或操作员测试，然后将有效方案投入生产。
- 利用AI在真正创造商业价值的地方提升流程的速度、质量和一致性。
- 我们寻找的人才
- 扎实的软件工程基础，最好有Python和后端系统的经验。
- 有使用LLM API、代理、RAG、工作流自动化或AI工具的实际经验。
- 能够将AI系统与真实的产品、数据和运营流程连接起来。
- 能判断AI在哪些地方有帮助，哪些地方规则系统或人工审核更合适。
- 理解评估、准确性、延迟、成本、隐私和故障模式。
查看英文原文
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 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 Vietnam. We are hiring specifically for this market, so applicants should already be based in Vietnam.
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