Applied AI Engineer - AI Finance Agent

BJAK
Ho Chi Minh City
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Strong communication","Judgement","Prototype-to-production mindset","Reliability focus","Working with messy data"]

Build AI-native systems for a mobile-first AI neobank, turning real business workflows into scalable automation. You’ll design and ship AI-powered assistants, agents, and workflow tools across customer support, CRM, onboarding, claims, renewals, and payments. Work with product and engineering teams to integrate LLMs and internal data via APIs and knowledge bases, while creating robust evaluation, monitoring, and fallback flows. Prototype quickly, test with users/operators, and productionize what works.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
BJAK
BJAK
2 months ago

Applied AI Engineer - AI Finance Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build AI-native systems for a mobile-first AI neobank, turning real business workflows into scalable automation. You’ll design and ship AI-powered assistants, agents, and workflow tools across customer support, CRM, onboarding, claims, renewals, and payments. Work with product and engineering teams to integrate LLMs and internal data via APIs and knowledge bases, while creating robust evaluation, monitoring, and fallback flows. Prototype quickly, test with users/operators, and productionize what works.
Location: Ho Chi Minh City
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build AI-powered workflows, assistants, agents, and automation systems.
  • •Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
  • •Collaborate with product and engineering teams to convert 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; prototype, test, and productionize what works.

Key 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.
  • •Ability to connect AI systems with real product, data, and operational workflows.
  • •Good judgement on when to use AI vs rule-based systems or human review.
  • •Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsuranceSupport automationCRMOperations automation
Skills:Strong communicationJudgementPrototype-to-production mindsetReliability focusWorking with messy data
Languages:English
Tech Stack:PythonLLM APIsLLMsRAGAPIs

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
WebsiteLinkedInGlassdoor