Applied AI Engineer - AI Finance Agent

BJAK
Bangkok
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication"]

Build AI-native systems for BJAK’s AI Neobank app, turning manual workflows into scalable automation across customer support, CRM, onboarding, claims, renewals, and payments. Create assistants, agents, and integrations with LLMs, APIs, internal data, documents, and knowledge bases. Design evaluation, monitoring, and fallback flows for safe, reliable outputs, then prototype, test with users/operators, and productionize what works.

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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 BJAK’s AI Neobank app, turning manual workflows into scalable automation across customer support, CRM, onboarding, claims, renewals, and payments. Create assistants, agents, and integrations with LLMs, APIs, internal data, documents, and knowledge bases. Design evaluation, monitoring, and fallback flows for safe, reliable outputs, then prototype, test with users/operators, and productionize what works.
Location: Bangkok
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.
  • •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 to keep AI outputs useful, safe, and reliable.

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.
  • •Able to connect AI systems with real product, data, and operational workflows.
  • •Good judgement on when AI helps vs when rule-based systems or human review are better.
  • •Understands evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsurance
Skills:Communication
Languages:English
Tech Stack:PythonLLM APIsRAGAPIsLLMs

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