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Applied AI Engineer - Finance Super App (Thailand)

Role overview

Qualifications

  • Strong software engineering foundation, preferably with Python and backend systems
  • Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools
  • Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage
  • Good judgement on where AI helps and where rule-based systems or human review are better

Responsibilities

  • Build AI-powered workflows, assistants, agents and automation systems
  • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools
  • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable
  • Improve speed, quality and consistency across workflows using AI where it creates real business value

About the company

Bjak logo

Bjak

Insurance

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Using technology, our team's core strengths are in problem solving and navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service. Our investments in technology such as Custom API, blockchain, trading systems and data science is to enable easy access to financial services, that were previously inaccessible or difficult to understand. If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.

Company details

Company typeScaleup
IndustryInsurance
Company size51 - 200

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Job description

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 finance super 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 Thailand. We are hiring specifically for this market, so applicants should already be based in Thailand.

 

Language

English is our main working language across global teams. Strong English communication is required.

 

Interview Process

Our process is designed to move fast:

1. Online assessment or practical task

2. Technical interview

3. 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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