Applied AI Engineer - AI Finance Agent

About BJAK

BJAK was founded in 2019 with the mission to provide smarter ways for people to plan, save, and grow their money. We built the first mobile-first insurance platform in Southeast Asia, making insurance accessible online to millions in the region. Today, we are the leading insurance platform in Southeast Asia and are expanding to help people with spending, saving, investing, exchanging, traveling, and more. Our mission is to help people get more from their money every day.

We have teams working around the world, with over 20 nationalities across our offices and remote locations. We are looking for talented, driven individuals who are passionate about their work, love building next-generation products, and want to redefine how everyone can access the best financial applications.

About 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.

Responsibilities

• 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.

Requirements

• 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.

Ideal Candidate

• 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 the US. Applicants should already be located in the US.

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.